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Contents

Open-Set Recognition

Surveys

  • A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges (TMLR 2023) [Paper]

  • A Survey on Open Set Recognition (Arxiv 2021) [Paper]

  • Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey (IEEE Signal Processing Magazine 2021) [Paper]

  • Recent advances in open set recognition: A survey (TPAMI 2020) [Paper]

  • A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels (Arxiv 2020) [Paper]

  • A Survey of Open-World Person Re-Identification (IEEE Transactions on Circuits and Systems for Video Technology 2020) [Paper]

  • Learning and the Unknown: Surveying Steps toward Open World Recognition (AAAI 2019) [Paper]

  • Transfer Adaptation Learning: A Decade Survey (Arxiv 2019) [Paper]

  • Biometric-Enabled Authentication Machines: A Survey of Open-Set Real-World Applications (IEEE Transactions on Human-Machine Systems 2016) [Paper]

  • Completeness, Recall, and Negation in Open-World Knowledge Bases: A Survey (Arxiv 2023) [Paper]

2024 Papers

CVPR

  • Open-Set Domain Adaptation for Semantic Segmentation (CVPR 2024) [Paper]

  • Programmable Motion Generation for Open-Set Motion Control Tasks (CVPR 2024) [Paper]

  • CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images (CVPR 2024) [Paper]

  • Unified Entropy Optimization for Open-Set Test-Time Adaptation (CVPR 2024) [Paper]

  • Seeing and Hearing: Open-domain Visual-Audio Generation with Diffusion Latent Aligners (CVPR 2024) [Paper]

  • AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning (CVPR 2024) [Paper]

  • SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge (CVPR 2024) [Paper]

  • Hyperbolic Learning with Synthetic Captions for Open-World Detection (CVPR 2024) [Paper]

  • Open-World Semantic Segmentation Including Class Similarity (CVPR 2024) [Paper]

  • RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding (CVPR 2024) [Paper]

  • Learning Object State Changes in Videos: An Open-World Perspective (CVPR 2024) [Paper]

  • Open-World Human-Object Interaction Detection via Multi-modal Prompts (CVPR 2024) [Paper]

  • ProTeCt: Prompt Tuning for Taxonomic Open Set Classification (CVPR 2024) [Paper]

  • PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation (CVPR 2024) [Paper]

  • Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models (CVPR 2024) [Paper]

  • Exploring Orthogonality in Open World Object Detection (CVPR 2024) [Paper]

  • JRDB-PanoTrack: An Open-world Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments (CVPR 2024) [Paper]

  • Targeted Representation Alignment for Open-World Semi-Supervised Learning (CVPR 2024) [Paper]

  • Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection (CVPR 2024) [Paper]

  • From Coarse to Fine-Grained Open-Set Recognition (CVPR 2024) [Paper]

  • EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension (CVPR 2024) [Paper]

  • Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception (CVPR 2024) [Paper]

  • OpenBias: Open-set Bias Detection in Text-to-Image Generative Models (CVPR 2024) [Paper]

  • Learning for Transductive Threshold Calibration in Open-World Recognition (CVPR 2024) [Paper]

  • Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation (CVPR 2024) [Paper]

  • DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning (CVPR 2024) [Paper]

ECCV

Arxiv & Others

2023 Papers

CVPR

  • Detecting Everything in the Open World: Towards Universal Object Detection (CVPR 2023) [Paper]

  • Annealing-based Label-Transfer Learning for Open World Object Detection (CVPR 2023) [Paper]

  • Glocal Energy-based Learning for Few-Shot Open-Set Recognition (CVPR 2023) [Paper]

  • OpenMix: Exploring Outlier Samples for Misclassification Detection (CVPR 2023) [Paper]

  • CapDet: Unifying Dense Captioning and Open-World Detection Pretraining (CVPR 2023) [Paper]

  • Open-set Fine-grained Retrieval via Prompting Vision-Language Evaluator (CVPR 2023) [Paper]

  • Open-Set Representation Learning through Combinatorial Embedding (CVPR 2023) [Paper]

  • PROB: Probabilistic Objectness for Open World Object Detection (CVPR 2023) [Paper]

  • GLIGEN: Open-Set Grounded Text-to-Image Generation (CVPR 2023) [Paper]

  • Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs (CVPR 2023) [Paper]

  • Open-Set Likelihood Maximization for Few-Shot Learning (CVPR 2023) [Paper]

  • Adjustment and Alignment for Unbiased Open Set Domain Adaptation (CVPR 2023) [Paper]

  • Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning (CVPR 2023) [Paper]

  • Progressive Open Space Expansion for Open Set Model Attribution (CVPR 2023) [Paper]

  • Cascade Evidential Learning for Open-world Weakly-supervised Temporal Action Localization (CVPR 2023) [Paper]

  • Open-set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework (CVPR 2023) [Paper]

  • Towards Open-World Segmentation of Parts (CVPR 2023) [Paper]

  • Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction (CVPR 2023) [Paper]

  • CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection (CVPR 2023) [Paper]

  • Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects (CVPR 2023) [Paper]

  • BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects (CVPR 2023) [Paper]

  • Discriminating Known from Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder (CVPR 2023) [Paper]

  • Unsupervised Object Localization: Observing the Background to Discover Objects (CVPR 2023) [Paper]

  • CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data (CVPR 2023) [Paper]

  • Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects (CVPR 2023) [Paper]

  • Learning Attention as Disentangler for Compositional Zero-shot Learning (CVPR 2023) [Paper]

ICLR

  • Towards Open Temporal Graph Neural Networks (ICLR 2023 top 5%) [Paper]
    Datasets: Reddit, Yelp, Taobao
    Task: Graph Neural Networks

  • Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data (ICLR 2023) [Paper]
    Datasets: CIFAR10, CIFAR100, ImageNet, MNIST, and Architecture Heritage Elements Dataset (AHED)
    Task: Image Classification

  • The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition (ICLR 2023) [Paper]
    Datasets: CIFAR100, LSUN, MiTv2, UCF101, HMDB51
    Task: Image and Video Classification

  • Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023) [Paper] [Code]
    Datasets: MNIST, Fashion-MNIST, CIFAR-10 and SVHN
    Task: Federated Learning

  • Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation (ICLR 2023) [Paper]
    Datasets: VG150
    Task: Scene Graph Generation

  • GOOD: Exploring geometric cues for detecting objects in an open world (ICLR 2023) [Paper] [Code]
    Datasets: COCO
    Task: Object Detection

  • Unicom: Universal and Compact Representation Learning for Image Retrieval (ICLR 2023) [Paper]
    Datasets: LAION 400M
    Task: Image Retrieval

ICCV

  • Random Boxes Are Open-world Object Detectors (ICCV 2023) [Paper]

ICML

  • Towards Unbiased Training in Federated Open-world Semi-supervised Learning (ICML 2023) [Paper]

ACL

  • Open Set Relation Extraction via Unknown-Aware Training (ACL 2023) [Paper]

  • Domain Incremental Lifelong Learning in an Open World (ACL 2023) [Paper]

  • Long-Tailed Question Answering in an Open World (ACL 2023) [Paper]

  • Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery (ACL 2023) [Paper]

  • Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach (ACL 2023) [Paper]

TPAMI

  • Orientational Distribution Learning with Hierarchical Spatial Attention for Open Set Recognition (TPAMI 2023) [Paper]

  • Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels (TPAMI 2023) [Paper]

  • Handling Open-set Noise and Novel Target Recognition in Domain Adaptive Semantic Segmentation (TPAMI 2023) [Paper]

  • From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning (TPAMI 2023) [Paper]

CVPRw

  • Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance (CVPRw 2023) [Paper]

WACV

  • MORGAN: Meta-Learning-Based Few-Shot Open-Set Recognition via Generative Adversarial Network (WACV 2023) [Paper] [Code]
    Datasets: Indian Pines (IP), Salinas, University of Pavia, Houston-2013
    Task: Hyper-Spectral Images

  • Ancestor Search: Generalized Open Set Recognition via Hyperbolic Side Information Learning (WACV 2023) [Paper]
    Datasets: CUB-200, AWA2, MNIST, CIFAR-10, CIFAR-100, SVHN, Tiny Imagenet
    Task: Image Classification

  • Large-Scale Open-Set Classification Protocols for ImageNet (WACV 2023) [Paper] [Code]
    Datasets: ILSVRC 2012
    Task: Image Classification

  • Contrastive Learning of Semantic Concepts for Open-Set Cross-Domain Retrieval (WACV 2023) [Paper]
    Datasets: DomainNet, PACS, Sketchy Extended
    Task: Open-Set Domain Generalization

WACVw

  • Dealing With the Novelty in Open Worlds (WACVw 2023) [Workshop]

  • MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration (WACVw 2023) [Paper]

Other Journals and Conferences

  • OpenCon: Open-world Contrastive Learning (TMLR 2023) [Paper] [Code]
    Datasets: CIFAR-10, CIFAR-100, Imagenet-100
    Task: Image Classification and Domain Adaptation

  • KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation (TMLR 2023) [Paper]

  • A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning (Neural Networks 2023) [Paper]

  • Spatial-Temporal Exclusive Capsule Network for Open Set Action Recognition (IEEE Transactions on Multimedia 2023) [Paper]

  • Multi-resolution Fusion Convolutional Network for Open Set Human Activity Recognition (IEEE Internet of Things Journal 2023) [Paper]

  • Open-Set Object Detection Using Classification-Free Object Proposal and Instance-Level Contrastive Learning (IEEE Robotics and Automation Letters 2023) [Paper]

  • An Open-Set Modulation Recognition Scheme with Deep Representation Learning (IEEE Communications Letters 2023) [Paper]

  • Neuro-Symbolic World Models for Adapting to Open World Novelty (AAMAS 2023) [Paper]

  • Object-agnostic Affordance Categorization via Unsupervised Learning of Graph Embeddings (JAIR 2023) [Paper]

  • Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems (INTERSPEECH 2023) [Paper]

  • Open-world Semi-supervised Novel Class Discovery (IJCAI 2023) [Paper][Code]

  • DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models (IJCAIw 2023) [Paper]

  • SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving (submitted to IEEE Transactions on Intelligent Vehicles 2023) [Paper]

Arxiv & Others

  • CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection (Arxiv 2023) [Paper]

  • ConceptFusion: Open-set Multimodal 3D Mapping (Arxiv 2023) [Paper]

  • Contrastive Credibility Propagation for Reliable Semi-Supervised Learning (Arxiv 2023) [Paper]

  • Open-Set Automatic Target Recognition (ICASSP 2023 Submission) [Paper]

  • Characterizing Novelty in the Military Domain (Submitted to ICCRTS 2023) [Paper]

  • Towards Open World NeRF-Based SLAM (Arxiv 2023) [Paper]

  • Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Survey (Arxiv 2023) [Paper]

  • CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation (Arxiv 2023) [Paper]

  • Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation (Arxiv 2023) [Paper]

  • Finding Competence Regions in Domain Generalization (Arxiv 2023) [Paper]

  • Background Matters: Enhancing Out-of-distribution Detection with Domain Features (Arxiv 2023) [Paper]

  • A Simple Framework for Open-Vocabulary Segmentation and Detection (Arxiv 2023) [Paper]

  • WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis (Arxiv 2023) [Paper]

  • Towards Universal Vision-language Omni-supervised Segmentation (Arxiv 2023) [Paper]

  • Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision (Arxiv 2023) [Paper]

  • ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data (Arxiv 2023) [Paper]

  • CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP (Arxiv 2023) [Paper]

  • Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning (Arxiv 2023) [Paper]

  • Toward Defining a Domain Complexity Measure Across Domains (Arxiv 2023) [Paper]

  • Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments (Arxiv 2023) [Paper]

  • Detecting the open-world objects with the help of the Brain (Arxiv 2023) [Paper]

  • Pluralistic Aging Diffusion Autoencoder (Arxiv 2023) [Paper]

  • Open-World Pose Transfer via Sequential Test-Time Adaption (Arxiv 2023) [Paper]

  • AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection (Arxiv 2023) [Paper]

  • Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open World (Arxiv 2023) [Paper]

  • Addressing the Challenges of Open-World Object Detection (Arxiv 2023) [Paper]

  • Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning (Arxiv 2023) [Paper]

  • OpenInst: A Simple Query-Based Method for Open-World Instance Segmentation (Arxiv 2023) [Paper]

  • RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding (Arxiv 2023) [Paper]

  • Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection (Arxiv 2023) [Paper]

  • Iterative Prompt Learning for Unsupervised Backlit Image Enhancement (Arxiv 2023) [Paper]

  • Open Set Classification of GAN-based Image Manipulations via a ViT-based Hybrid Architecture (Arxiv 2023) [Paper]

  • Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification (Arxiv 2023) [Paper]

  • Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning (Arxiv 2023) [Paper]

  • Linking generative semi-supervised learning and generative open-set recognition (Arxiv 2023) [Paper]

  • Self-Paced Learning for Open-Set Domain Adaptation (Arxiv 2023) [Paper]

  • Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection (Arxiv 2023) [Paper]

  • Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment (Arxiv 2023) [Paper]

  • Open Set Wireless Signal Classification: Augmenting Deep Learning with Expert Feature Classifiers (Arxiv 2023) [Paper]

  • Improving Open-Set Semi-Supervised Learning with Self-Supervision (Arxiv 2023) [Paper]

  • Hybrid Open-set Segmentation with Synthetic Negative Data (Arxiv 2023) [Paper]

  • Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition (Arxiv 2023) [Paper]

  • Open-World Weakly-Supervised Object Localization (Arxiv 2023) [Paper]

  • USNID: A Framework for Unsupervised and Semi-supervised New Intent Discovery (Arxiv 2023) [Paper]

  • DoUnseen: Zero-Shot Object Detection for Robotic Grasping (Arxiv 2023) [Paper]

  • Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization (Arxiv 2023) [Paper]

  • CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario (Arxiv 2023) [Paper]

  • MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition (Arxiv 2023) [Paper]

  • Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning (Arxiv 2023) [Paper]

  • HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication (Arxiv 2023) [Paper]

  • torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in Python (Arxiv 2023) [Paper]

  • Learning for Open-World Calibration with Graph Neural Networks (Arxiv 2023) [Paper]

  • Instance-Level Semantic Maps for Vision Language Navigation (Arxiv 2023) [Paper]

  • Online Open-set Semi-supervised Object Detection via Semi-supervised Outlier Filtering (Arxiv 2023) [Paper]

  • Multi-modal Queried Object Detection in the Wild (Arxiv 2023) [Paper]

  • In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation (Arxiv 2023) [Paper]

  • Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts (Arxiv 2023) [Paper]

  • ProTeCt: Prompt Tuning for Hierarchical Consistency (Arxiv 2023) [Paper]

  • 2D Supervised Monocular 3D Object Detection by Global-to-Local 3D Reconstruction (Arxiv 2023) [Paper]

  • Open-World Continual Learning: Unifying Novelty Detection and Continual Learning (Arxiv 2023) [Paper]

  • Uncovering CWE-CVE-CPE Relations with Threat Knowledge Graphs (Arxiv 2023) [Paper]

  • Detecting Novelties with Empty Classes (Arxiv 2023) [Paper]

  • ChinaOpen: A Dataset for Open-world Multimodal Learning (Arxiv 2023) [Paper]

  • ZeroFlow: Fast Zero Label Scene Flow via Distillation (Arxiv 2023) [Paper]

  • OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding (Arxiv 2023) [Paper][Code]

  • MonoTDP: Twin Depth Perception for Monocular 3D Object Detection in Adverse Scenes (Arxiv 2023) [Paper]

  • Learning for Open-World Calibration with Graph Neural Networks (Arxiv 2023) [Paper]

  • WOT-Class: Weakly Supervised Open-world Text Classification (Arxiv 2023) [Paper]

  • Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework (Arxiv 2023) [Paper]

  • GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs (Arxiv 2023) [Paper]

  • Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching (Arxiv 2023) [Paper]

  • Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting (Arxiv 2023) [Paper]

  • PIVOINE: Instruction Tuning for Open-world Information Extraction (Arxiv 2023) [Paper]

  • SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning (Arxiv 2023) [Paper]

  • Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments (Arxiv 2023) [Paper]

  • Discovering Novel Actions in an Open World with Object-Grounded Visual Commonsense Reasoning (Arxiv 2023) [Paper]

  • Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory (Arxiv 2023) [Paper]

  • VoxDet: Voxel Learning for Novel Instance Detection (Arxiv 2023) [Paper]

  • Integrating Action Knowledge and LLMs for Task Planning and Situation Handling in Open Worlds (Arxiv 2023) [Paper]

  • Multi-modal Queried Object Detection in the Wild (Arxiv 2023) [Paper]

  • Temporal-controlled Frame Swap for Generating High-Fidelity Stereo Driving Data for Autonomy Analysis (Arxiv 2023) [Paper]

  • Open-world Text-specified Object Counting (Arxiv 2023) [Paper]

  • DOS: Diverse Outlier Sampling for Out-of-Distribution Detection (Arxiv 2023) [Paper]

  • USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Model (Arxiv 2023) [Paper]

2022 Papers

CVPR

  • Expanding Low-Density Latent Regions for Open-Set Object Detection (CVPR 2022) [Paper] [Code]
    Datasets: PASCAL VOC, MS COCO
    Task: Object Detection

  • Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition (CVPR 2022) [Paper] [Code]
    Datasets: MiniImageNet, TieredImageNet
    Task: Few-Shot Open-Set Recognition

  • Active Learning for Open-Set Annotation (CVPR 2022) [Paper]
    Datasets: CIFAR10, CIFAR100, TinyImageNet
    Task: Active Learning

  • SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation (CVPR 2022) [Paper] [Code]
    Datasets: GTA5→Cityscapes, Endovis17→Endovis18
    Task: Semantic Segmentation

  • Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection (CVPR 2022) [Paper] [Code]
    Datasets: Hyper-Kvasir
    Task: Anomaly Detection

  • OSSGAN: Open-Set Semi-Supervised Image Generation (CVPR 2022) [Paper] [Code]
    Datasets: Tiny ImageNet, ImageNet ILSVRC2012
    Task: Image Generation

  • Open-Set Text Recognition via Character-Context Decoupling (CVPR 2022) [Paper] [Code]
    Datasets: OSOCR (chinese train japanese test), HWDB and CTW
    Task: Text Recognition

  • OW-DETR: Open-world Detection Transformer (CVPR 2022) [Paper] [Code]
    Datasets: MS-COCO, PascalVOC
    Task: Object Detection

  • ProposalCLIP: Unsupervised Open-Category Object Proposal Generationvia Exploiting CLIP Cues (CVPR 2022) [Paper]
    Datasets: PASCAL VOC 2007, COCO 2017, Visual Genome
    Task: Object Proposal Generation

  • SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Color Editing (CVPR 2022) [Paper] [Code]
    Datasets: Adobe Discover dataset, MA5K-Req
    Task: Image Editing

  • KG-SP: Knowledge Guided Simple Primitivesfor Open World Compositional Zero-Shot Learning (CVPR 2022) [Paper] [Code]
    Datasets: UT-Zappos, MIT-States, C-GQA
    Task: Compositional Zero-Shot Learning

  • Safe-Student for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data (CVPR 2022) [Paper]
    Datasets: MNIST; CIFAR-10; CIFAR-100; TinyImagenet
    Task: Image Classification

  • Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources (CVPR 2022) [Paper] [Code]
    Datasets: NewsCLIPpings
    Task: Multimodal Fact-Checking

ICLR

  • Open-set Recognition: A good closed-set classifier is all you need? (ICLR 2022 Oral) [Paper] [Code]
    Datasets: ImageNet-21K-P, CUB, Stanford Car, FGVC-Aircraft, MNIST, SVHN, CIFAR10, CIFAR+N, TinyImageNet
    Task: Open-set Recognition

  • CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization (ICLR 2022) [Paper]
    Datasets: MNIST, SVHN,USPS, MNIST-M, SYN, Office31, Office-Home, PACS
    Task: Domain Generalization

  • Objects in Semantic Topology (ICLR 2022) [Paper]
    Datasets: Pascal VOC, MS-COCO
    Task: Object Detection

  • Open-World Semi-Supervised Learning (ICLR 2022) [Paper] [Code]
    Datasets: CIFAR-10, CIFAR-100, ImageNet, single-cell Mouse Ageing Cell Atlas dataset
    Task: Image Classification

  • Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable (ICLR 2022) [Paper] [Code]
    Datasets: TED-LIUM, Common Voice, LibriSpeech
    Task: Lightweight Speech Recognition

  • Benchmarking the Spectrum of Agent Capabilities (ICLR 2022) [Paper] [Code]
    Datasets: Crafter
    Task: Agent Evaluation

NeurIPS

  • Rethinking Knowledge Graph Evaluation Under the Open-World Assumption (NeurIPS 2022 Oral) [Paper] [Code]
    Datasets: family tree KG
    Task: Knowledge Graph Completion

  • OpenAUC: Towards AUC-Oriented Open-Set Recognition (NeurIPS 2022) [Paper]
    Datasets: MNIST1, SVHN2, CIFAR10, CIFAR+10, CIFAR+50, TinyImageNet, CUB
    Task: Image Classification

  • Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation (NeurIPS 2022) [Paper] [Code]
    Datasets: Office-31, Office-Home, VisDA
    Task: Domain Adaptation

  • 3DOS: Towards Open Set 3D Learning: Benchmarking and Understanding Semantic Novelty Detection on Point Clouds (NeurIPS 2022) [Paper] [Code]
    Datasets: ShapeNetCore v2, ModelNet40->ScanObjectNN, ScanObjectNN
    Task: Point Cloud Novelty Detection

  • Domain Adaptation under Open Set Label Shift (NeurIPS 2022) [Paper] [Code]
    Datasets: CIFAR10, CIFAR100, Entity30, Newsgroups-20, Tabula Muris, Dermnet (skin disease prediction), BreakHis(tumor cell classification)
    Task: Domain Adaptation

  • Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning (NeurIPS 2022) [Paper]
    Datasets: CIFAR10, CIFAR100, and ImageNet, LSUN, Places365
    Task: Active Learning

  • Maximum Class Separation as Inductive Bias in One Matrix (NeurIPS 2022) [Paper] [Code]
    Datasets: CIFAR10, CIFAR100, and ImageNet
    Task: Image Classification

  • GlanceNets: Interpretable, Leak-proof Concept-based Models (NeurIPS 2022) [Paper] [Code]
    Datasets: dSprites, MPI3D, CelebA, even and odd MNIST images
    Task: Concept Leakage

  • Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation (NeurIPS 2022) [Paper] [Code]
    Datasets: Office-31,Office-Home and VisDA-C 2017
    Task: Domain Adaptation

  • DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection (NeurIPS 2022) [Paper]
    Datasets: LVIS, YFCC100m
    Task: Object Detection

  • What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs (NeurIPS 2022) [Paper] [Code]
    Datasets: CUB-200-2011, Stanford Car, Stanford dogs, Flickr30k, ReferIt, Visual Genome (VG), MSCOCO 2014
    Task: Object Localization and Captioning

ECCV

  • Open-Set Semi-Supervised Object Detection (ECCV 2022 Oral) [Paper]
    Datasets: COCO, OpenImages
    Task: Semi-Supervised Object Detection

  • Few-Shot Class-Incremental Learning from an Open-Set Perspective (ECCV 2022) [Paper] [Code]
    Datasets: CIFAR100, miniImageNet, and CUB200
    Task: Image Classification

  • Towards Accurate Open-Set Recognition via Background-Class Regularization (ECCV 2022) [Paper]
    Datasets: SVHN, CIFAR10 & CIFAR100, TinyImageNet
    Task: Image Classification

  • DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition (ECCV 2022) [Paper] [Code]
    Datasets: Fishyscapes, SegmentMeIfYouCan (SMIYC), StreetHazards
    Task: Anomaly Detection

  • Difficulty-Aware Simulator for Open Set Recognition (ECCV 2022) [Paper] [Code]
    Datasets: MNIST,SVHN,CIFAR10, CIFAR+10, CIFAR+50, Tiny-ImageNet, MNIST->Noise, MNIST Noise, Omniglot
    Task: Image Generation

  • Learning to Detect Every Thing in an Open World (ECCV 2022) [Paper] [Code]
    Datasets: COCO, Cityscapes, (test: UVO, Obj365, Mappilary Vista)
    Task: Object Detection

  • Open-world Semantic Segmentation via Contrasting and Clustering Vision-language Embedding (ECCV 2022) [Paper]
    Datasets: PAS-CAL VOC, PASCAL Context, and COCO Stuff
    Task: Semantic Segmentation

  • Interpretable Open-Set Domain Adaptation via Angular Margin Separation (ECCV 2022) [Paper] [Code]
    Datasets: D2AwA, I2AwA
    Task: Domain Adaptation

  • PSS: Progressive Sample Selection for Open-World Visual Representation Learning (ECCV 2022) [Paper] [Code]
    Datasets: iNaturalist, IMDB, Deep-Glint, IJB-C
    Task: Image retrieval

  • Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects (ECCV 2022) (Open-set?) [Paper] [Code]
    Datasets: LineMOD and LineMOD-O, T-LESS
    Task: 3D Oriention Estimation

  • Unknown-Oriented Learning for Open Set Domain Adaptation (ECCV 2022) [Paper]
    Datasets: SVHN→MNIST, MNIST→USPS and USPS→MNIST; Office-Home; Endo-c2k -> KID WCE
    Task: Domain Adaptation

  • UC-OWOD: Unknown-Classified Open World Object Detection (ECCV 2022) [Paper] [Code]
    Datasets: Pascal VOC; and MS-COCO
    Task: Object Detection

  • Open-world Semantic Segmentation for LIDAR Point Clouds (ECCV 2022) [Paper] [Code]
    Datasets: SemanticKITTI, nuScenes
    Task: Semantic Segmentation on LIDAR Point Clouds

  • OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning (ECCV 2022) [Paper]

  • Open-world Semantic Segmentation for LIDAR Point Clouds (ECCV 2022) [Paper]

AAAI

  • Learngene: From Open-World to Your Learning Task (AAAI 2022) [Paper]
    Datasets:CIFAR100, ImageNet100
    Task: Meta Learning

  • PMAL: Open Set Recognition via Robust Prototype Mining (AAAI 2022) [Paper]
    Datasets: MNIST, SVHN, CIFAR10, CIFAR+10, CIFAR+50, TinyImageNet
    Task: Image Classification

  • Learning Network Architecture for Open-Set Recognition (AAAI 2022) [Paper]
    Datasets: MNIST, SVHN, CIFAR10, CIFAR+10, CIFAR+50
    Task: Image Classification

  • LUNA: Localizing Unfamiliarity Near Acquaintance for Open-Set Long-Tailed Recognition (AAAI 2022) [Paper]
    Datasets: ImageNet-LT, Places-LT, Marine Species (MS)-LT
    Task: Image Classification

ACL

  • TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge (ACL 2022) [Paper]

TPAMI

  • Open Long-Tailed RecognitionIn A Dynamic World (TPAMI 2022) [Paper] [Code]
    Datasets: CIFAR-10-LT,CIFAR-100-LT, and iNaturalist-18, Places-LT, MS1M-LT, SUN-LT
    Task: Image Classification

  • Convolutional Prototype Network for Open Set Recognition (TPAMI 2022) [Paper]

  • Class-Specific Semantic Reconstruction for Open Set Recognition (TPAMI 2022) [Paper]

  • OpenGAN: Open-Set Recognition Via Open Data Generation (TPAMI 2022) [Paper]

  • Open World Entity Segmentation (TPAMI 2022) [Paper]

  • Bayesian Embeddings for Few-Shot Open World Recognition (TPAMI 2022) [Paper]

  • Learning Graph Embeddings for Open World Compositional Zero-Shot Learning (TPAMI 2022) [Paper]

CVPRw

  • Variable Few Shot Class Incremental and Open World Learning (CVPRw 2022) [Paper] [Code]
    Datasets: Caltech-UCSD Birds-200-2011 CUB200; miniImageNet
    Task: Image Classification

  • Towards Open-Set Object Detection and Discovery (CVPRw 2022) [Paper]
    Datasets: Pascal VOC 2007; MS-COCO
    Task: Image Classification

  • Open-Set Domain Adaptation Under Few Source-Domain Labeled Samples (CVPRw 2022) [Paper]
    Datasets: Office-31; Mini-domainNet; NPU-RSDA
    Task: Image Classification

WACV

  • Few-Shot Open-Set Recognition of Hyperspectral Images With Outlier Calibration Network (WACV 2022) [Paper] [Code]
    Datasets: Indian Pines(IP), Salinas, University of Pavia, Houston-2013
    Task: Hyperspectral Image Classification

  • Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation (WACV 2022) [Paper] [Code]
    Datasets: Office-31, Office-Home, DomainNet
    Task: Domain Adaptation

  • SeeTek: Very Large-Scale Open-Set Logo Recognition With Text-Aware Metric Learning (WACV 2022) [Paper]
    Datasets: PL8K,LogoDet-3K, FlickrLogos-47, Logos-in-the-Wild (LitW), OpenLogo, BelgaLogos, Hard Evaluation dataset
    Task: Logo Recognition

  • Novel Ensemble Diversification Methods for Open-Set Scenarios (WACV 2022) [Paper]
    Datasets: Market-1501 (ReID), MS1MV2, Labeled Faces in the Wild (LFW) (Face Recognition), CIFAR-100, CIFAR-10, TinyImageNet(crop) (OSR, OOD), SVHN and MNIST (OSR)
    Task: Ensemble Diversification

  • Learning To Generate the Unknowns as a Remedy to the Open-Set Domain Shift (WACV 2022) [Paper]
    Datasets: Office-Home, VisDA-17, Syn2Real-O
    Task: Domain Adaptation

  • Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis (WACV 2022) [Paper] [Code]
    Datasets: Scribble, SketchyCOCO
    Task: Domain Adaptation

IJCV

  • Open-set Adversarial Defense with Clean-Adversarial Mutual Learning (IJCV 2022) [Paper]

BMVC

  • Dual Decision Improves Open-Set Panoptic Segmentation (BMVC 2022) [Paper] [Code]
    Datasets: MS-COCO 2017
    Task: Panoptic Segmentation

ECCVw

  • General Image Descriptors for Open World Image Retrieval using ViT CLIP (ECCVw 2022) [Paper]

Other Journals and Conferences

  • Open Set Domain Adaptation By Novel Class Discovery (ICME 2022) [Paper]
    Datasets: Office-31, Office-Home, DomainNet
    Task: Image Classification and Domain Adaptation

  • Discovering Implicit Classes Achieves Open Set Domain Adaptation (ICME 2022) [Paper]

  • Open-World Object Detection via Discriminative Class Prototype Learning (ICIP 2022) [Paper]

  • Multi-Attribute Open Set Recognition (GCPR 2022) [Paper]

  • Semantic Abstraction: Open-World 3D Scene Understanding from 2D Vision-Language Models (Conference on Robot Learning 2022) [Paper]

  • Uncertainty for Identifying Open-Set Errors in Visual Object Detection (IROS/RAL 2022) [Paper]

  • One-Shot Open-Set Skeleton-Based Action Recognition (IEEE International Conference on Humanoid Robots 2022) [Paper]

  • 3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds (NeurIPS 2022 Datasets and Benchmarks) [Paper]

  • Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting (INTERSPEECH 2022) [Paper]

  • Open-Set Recognition with Gradient-Based Representations (ICIP 2022) [Paper]

  • Collective Decision of One-vs-Rest Networks for Open Set Recognition (TNNLS 2022) [Paper]

  • Incremental Learning from Low-labelled Stream Data in Open-Set Video Face Recognition (Pattern Recognition 2022) [Paper]

  • Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition (Jounal of Imaging 2022) [Paper]

  • Spectral-Spatial Latent Reconstruction for Open-Set Hyperspectral Image Classification (IEEE Transactions on Image Processing 2022) [Paper]

  • Deep-Learning-Based Open Set Fault Diagnosis by Extreme Value Theory (IEEE Transactions on Industrial Informatics 2022) [Paper]

  • Evaluating Uncertainty Calibration for Open-Set Recognition (ICRA 2022) [Paper]

  • OpenStance: Real-world Zero-shot Stance Detection (CoNLL 2022) [Paper]

  • Generalized Intent Discovery: Learning from Open World Dialogue System (COLING 2022) [Paper]

  • Open World Learning Graph Convolution for Latency Estimation in Routing Networks (IJCNN 2022) [Paper]

  • RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments (ICDL 2022) [Paper]

  • SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding (ISRR 2022) [Paper]

  • Exploring the Open World Using Incremental Extreme Value Machines (ICPR 2022) [Paper]

  • Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation (IJCAI 2022) [Paper]

  • OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision (WWW 2022) [Paper]

  • Contrastive Learning for Cross-Domain Open World Recognition (IROS 2022) [Paper]

  • Towards Unsupervised Open World Semantic Segmentation (UAI 2022, PMLR) [Paper]

  • Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning (ICPR 2022) [Paper]

Arxiv & Others

  • NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds (Arxiv 2022 - TMLR 2023 Under Review) [Paper]

  • Oracle Analysis of Representations for Deep Open Set Detection (Arxiv 2022) [Paper]

  • From Known to Unknown: Quality-aware Self-improving Graph Neural Network for Open Set Social Event Detection (Arxiv 2022) [Paper]

  • Semantic Abstraction: Open-World 3D Scene Understanding from 2D Vision-Language Models (Arxiv 2022) [Paper]

  • Prompt-driven efficient Open-set Semi-supervised Learning (Arxiv 2022) [Paper]

  • OOD Augmentation May Be at Odds with Open-Set Recognition (Arxiv 2022) [Paper]

  • Knowledge Distillation Meets Open-Set Semi-Supervised Learning (Arxiv 2022) [Paper]

  • Open World DETR: Transformer based Open World Object Detection (Arxiv 2022) [Paper]

  • ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning (Arxiv 2022) [Paper]

  • PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning (Arxiv 2022) [Paper]

  • Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning (Arxiv 2022) [Paper]

  • An Open-World Lottery Ticket for Out-of-Domain Intent Classification (Arxiv 2022) [Paper]

  • Robot Task Planning and Situation Handling in Open Worlds (Arxiv 2022) [Paper]

  • Self-Trained Proposal Networks for the Open World (Arxiv 2022) [Paper]

  • UnCommonSense: Informative Negative Knowledge about Everyday Concepts (Arxiv 2022) [Paper]

  • Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization (Arxiv 2022) [Paper]

  • Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter (Arxiv 2022) [Paper]

  • Enhancing Automated Software Traceability by Transfer Learning from Open-World Data (Arxiv 2022) [Paper]

  • Artificial Open World for Evaluating AGI: a Conceptual Design (Arxiv 2022) [Paper]

  • On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning (Arxiv 2022) [Paper]

  • Extending One-Stage Detection with Open-World Proposals (Arxiv 2022) [Paper]

  • Revisiting Open World Object Detection (Arxiv 2022) [Paper]

  • Accurate Open-set Recognition for Memory Workload (Arxiv 2022) [Paper]

  • PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis (Arxiv 2022) [Paper]

  • Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognition (Arxiv 2022) [Paper]

  • Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning with Appendix (Arxiv 2022) [Paper]

  • PartCom: Part Composition Learning for 3D Open-Set Recognition (Arxiv 2022) [Paper]

2021 Papers

CVPR

  • Counterfactual Zero-Shot and Open-Set Visual Recognition (CVPR 2021) [Paper]
    Datasets: MNIST, SVHN,CIFAR10 and CIFAR100
    Task: Image Classification

  • Towards Open World Object Detection (CVPR 2021) [Paper] [Code]
    Datasets: Pascal VOC, MS-COCO
    Task: Object Detection

  • Learning Placeholders for Open-Set Recognition (CVPR 2021) [Paper]
    Datasets: SVHN, CIFAR10, CIFAR+10, CIFAR+50, Tiny-ImageNet
    Task: Image Classification

  • Few-Shot Open-Set Recognition by Transformation Consistency (CVPR 2021) [Paper]
    Datasets: miniImageNet, tieredImageNet
    Task: Image Classification

  • OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World (CVPR 2021) [Paper]
    Datasets: CIFAR10, CIFAR 100, Imagenet
    Task: Image Classification

  • Exemplar-Based Open-Set Panoptic Segmentation Network (CVPR 2021) [Paper] [Code]
    Datasets: COCO
    Task: Semantic Segmentation

  • Open World Compositional Zero-Shot Learning (CVPR 2021) [Paper]

NeurIPS

  • Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach (NeurIPS 2021) [Paper] [Code]
    Datasets: UCI Machine Learning Repository: Gene, Protein, Robot, Drive, Calls and Github, Avazu and Criteo
    Task: Graph Learning

  • OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization (NeurIPS 2021) [Paper] [Code]
    Datasets: CIFAR10/100 and ImageNet
    Task: Image Classification

  • Improving Contrastive Learning on Imbalanced Data via Open-World Sampling (NeurIPS 2021) [Paper] [Code]
    Datasets: ImageNet-100-LT, ImageNet-900 and ImageNet-Places-mix
    Task: Image Classification

  • Open-set Label Noise Can Improve Robustness Against Inherent Label Noise (NeurIPS 2021) [Paper] [Code]
    Datasets: CIFAR-10, CIFAR-100 and Clothing1M, 300K Random Images, CIFAR-5m
    Task: Image Classification with Noisy Labels

ICCV

  • OpenGAN: Open-Set Recognition via Open Data Generation (ICCV 2021 Best honorable) [Paper] [Code]
    Datasets: MNIST, SVHN,CIFAR10, TinyImageNet, Cityscapes
    Task: Image Classification

  • NGC: A Unified Framework for Learning With Open-World Noisy Data (ICCV 2021) [Paper]
    Datasets: CIFAR10, CIFAR 100, TinyImageNet, Places-365
    Task: Out-of-Distribution Detection

  • Conditional Variational Capsule Network for Open Set Recognition (ICCV 2021) [Paper] [Code]
    Datasets: MNIST, SVHN, CIFAR10, CIFAR+10, CIFAR+50 and TinyImageNet
    Task: Image Classification

  • Deep Metric Learning for Open World Semantic Segmentation (ICCV 2021) [Paper]
    Datasets: StreetHazards, Lost and Found and Road Anomaly
    Task: Semantic Segmentation

  • Towards Discovery and Attribution of Open-World GAN Generated Images (ICCV 2021) [Paper] [Code]
    Datasets: CelebA, CelebA-HQ, ImageNet, LSUN Bedroom
    Task: Image Generation

  • Prototypical Matching and Open Set Rejection for Zero-Shot Semantic Segmentation (ICCV 2021) [Paper]
    Datasets: Pascal VOC 2012, Pascal Context
    Task: Semantic Segmentation

  • Energy-Based Open-World Uncertainty Modeling for Confidence Calibration (ICCV 2021) [Paper]
    Datasets: MNIST,CIFAR-10/100 and Tiny-ImageNet
    Task: Confidence Calibration

  • Trash To Treasure: Harvesting OOD Data With Cross-Modal Matching for Open-Set Semi-Supervised Learning (ICCV 2021) [Paper]
    Datasets: CIFAR-10, Animal-10, Tiny-ImageNet, CIFAR100
    Task: Out-of-Distribution Detection

  • Towards Novel Target Discovery Through Open-Set Domain Adaptation (ICCV 2021) [Paper] [Code]
    Datasets: D2AwA; IAwA2
    Task: Image Classification

ICML

  • Learning bounds for open-set learning (ICML 2021) [Paper] [Code]
    Datasets: n MNIST, SVHN, CIFAR-10, CIFAR+10, CIFAR+50
    Task: Image Classification

  • Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach (ICML 2021) [Paper]

TPAMI

  • Adversarial Reciprocal Points Learning for Open Set Recognition (TPAMI 2021) [Paper]

  • Polyhedral Conic Classifiers for Computer Vision Applications and Open Set Recognition (TPAMI 2021) [Paper]

EMNLP

  • Open World Classification with Adaptive Negative Samples (EMNLP 2021) [Paper]

CVPRw

  • Addressing Visual Search in Open and Closed Set Settings (CVPRw 2021) [Paper]

  • Contextual Transformer Networks for Visual Recognition (CVPRw 2021) [Paper]

WACV

  • Class Anchor Clustering: A Loss for Distance-Based Open Set Recognition (WACV 2021) [Paper]
    Datasets: MNIST, SVHN, CIFAR-10, CIFAR+10, CIFAR+50, TinyImageNet
    Task: Image Classification

  • Automatic Open-World Reliability Assessment (WACV 2021) [Paper]
    Datasets: EfficientNet-B3 on ImageNet
    Task: Image Classification Reliability Assessment

  • Object Recognition With Continual Open Set Domain Adaptation for Home Robot (WACV 2021) [Paper]
    Datasets: RGB-D Object Dataset (ROD), Autonomous Robot Indoor Dataset (ARID), OpenLORIS-object Dataset, CORe50 Dataset, iCubWorld Transformations Dataset, COSDA-HR dataset
    Task: Home Robot Object Detection

  • EvidentialMix: Learning With Combined Open-Set and Closed-Set Noisy Labels (WACV 2021) [Paper] [Code]
    Datasets: CIFAR-10, CIFAR-100, ImageNet32
    Task: Image Classification

NeurIPSw

  • Open-Set Multi-Source Multi-Target Domain Adaptation (NeurIPSw 2021) [Paper]

Other Journals and Conferences

  • Open-set Intersection Intention Prediction for Autonomous Driving (ICRA 2021) [Paper]

  • Open-Set Support Vector Machines (TSMC 2021) [Paper]

  • Empowering Knowledge Distillation via Open Set Recognition for Robust 3D Point Cloud Classification (Pattern Recognition Letters 2021) [Paper]

  • Fully Convolutional Open Set Segmentation (Machine Learning 2021) [Paper]

  • O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship Verification (PAN@CLEF 2021) [Paper]

  • Open Set Authorship Attribution toward Demystifying Victorian Periodicals (ICDAR 2021) [Paper]

  • Siamese Network-based Open Set Identification of Communications Emitters with Comprehensive Features (CCISP 2021) [Paper]

  • Recurrent Variational Open-Set Recognition (URTC 2021) [Paper]

  • Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography (ICIP 2021) [Paper]

  • The Open Set Weighted Domain Adaptation Method for Fault Diagnosis of Rolling Bearings (PHM-Nanjing 2021) [Paper]

  • Open Set Domain Adaptation: Theoretical Bound and Algorithm (IEEE Transactions on Neural Networks and Learning Systems 2021) [Paper]

  • Open-Set Human Identification Based on Gait Radar Micro-Doppler Signatures (IEEE Sensors Journal 2021) [Paper]

  • On the Challenges of Open World Recognition under Shifting Visual Domains (RAL/ICRA 2021) [Paper]

  • Rapid Exploration for Open-World Navigation with Latent Goal Models (CoRL 2021) [Paper]

  • Lifelong Learning of Graph Neural Networks for Open-World Node Classification (IJCNN 2021) [Paper]

  • Towards Entity Alignment in the Open World: An Unsupervised Approach (DASFAA 2021) [Paper]

Arxiv & Others

  • Open-Set Representation Learning through Combinatorial Embedding (Arxiv 2021) [Paper]

  • A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks (Arxiv 2021) [Paper]

  • One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification (Arxiv 2021) [Paper]

  • Learning Metrics from Mean Teacher: A Supervised Learning Method for Improving the Generalization of Speaker Verification System (Arxiv 2021) [Paper]

  • An Empirical Study and Analysis on Open-Set Semi-Supervised Learning (Arxiv 2021) [Paper]

  • Learning Open-World Object Proposals without Learning to Classify (Arxiv 2021) [Paper]

  • Open-World Entity Segmentation (Arxiv 2021) [Paper]

  • Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver (Arxiv 2021) [Paper]

  • The Difficulty of Novelty Detection in Open-World Physical Domains: An Application to Angry Birds (Arxiv 2021) [Paper]

  • Open-world Machine Learning: Applications, Challenges, and Opportunities (Arxiv 2021) [Paper]

  • Towards Open-World Text-Guided Face Image Generation and Manipulation (Arxiv 2021) [Paper]

  • Learning without Seeing nor Knowing: Towards Open Zero-Shot Learning (Arxiv 2021) [Paper]

  • Out-distribution aware Self-training in an Open World Setting (Arxiv 2021) [Paper]

  • Self-Supervised Features Improve Open-World Learning (Arxiv 2021) [Paper]

  • Semantic Task Planning for Service Robots in Open World (Arxiv 2021) [Paper]

2020 Papers

CVPR

  • Few-Shot Open-Set Recognition Using Meta-Learning (CVPR 2020) [Paper]
    Datasets: mini-Imagenet, CIFAR10, XJTU-Stevens
    Task: Image Classification

  • Towards Inheritable Models for Open-Set Domain Adaptation (CVPR 2020) [Paper] [Code]
    Datasets: Office-31, Office-Home, VisDA
    Task: Domain Adaptation

  • Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation (CVPR 2020) [Paper]
    Datasets: Office, VisDA
    Task: Domain Adaptation

  • Conditional Gaussian Distribution Learning for Open Set Recognition (CVPR 2020) [Paper]
    Datasets: MNIST, SVHN, CIFAR-10, CIFAR-100, Tiny-ImageNet, ImageNet-crop, ImageNet-resize,LSUN-crop, and LSUN-resize
    Task: Image Classification

  • Generative-Discriminative Feature Representations for Open-Set Recognition (CVPR 2020) [Paper]
    Datasets: SVHN, CIFAR-10, CIFAR+10, CIFAR+50, Tiny-ImageNet, ImageNet-crop, ImageNet-resize,LSUN-crop, and LSUN-resize
    Task: Image Classification

ICML

  • Progressive Graph Learning for Open-Set Domain Adaptation (ICML 2020) [Paper]
    Datasets: Office-Home, VisDA-17, Syn2Real-O
    Task: Domain Adaptation

ECCV

  • Hybrid Models for Open Set Recognition (ECCV 2020) [Paper]
    Datasets: MNIST, SVHN, CIFAR10, CIFAR100, CIFAR+10, CIFAR+50 and TinyImageNet
    Task: Image Classification

  • Learning Open Set Network with Discriminative Reciprocal Points (ECCV 2020) [Paper]
    Datasets: MNIST, SVHN, CIFAR10, CIFAR100, CIFAR+10, CIFAR+50 and TinyImageNet, ImageNet-LT, Aircraft 300
    Task: Image Classification

  • Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning (ECCV 2020) [Paper]
    Datasets: LSUN, TinyImageNet, Gaussian, Uniform, CIFAR-10, SVHN
    Task: Multi-task Learning

  • On the Effectiveness of Image Rotation for Open Set Domain Adaptation (ECCV 2020) [Paper] [Code]
    Datasets: Office-31 and Office-Home
    Task: Domain Adaptation

  • Open-set Adversarial Defense (ECCV 2020) [Paper] [Code]
    Datasets: SVHN, CIFAR10, TinyImageNet
    Task: Adversarial Defense

  • Multi-Source Open-Set Deep Adversarial Domain Adaptation (ECCV 2020) [Paper]
    Datasets: Office-31 and Office-Home, Office-CalTech, Digits
    Task: Domain Adaptation

  • Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery (ECCV 2020) [Paper] [Code]
    Datasets: Pavia University (PU) and Pavia Center (PC), Indian Pines (IN), CIFAR10, TinyImageNet
    Task: Hyperspectral Image Classification

  • Learning to Detect Open Classes for Universal Domain Adaptation (ECCV 2020) [Paper]
    Datasets: Office-31 and Office-Home, VisDA, DomainNet
    Task: Domain Adaptation

  • Adaptive Object Detection with Dual Multi-Label Prediction (ECCV 2020) [Paper]

TPAMI

  • Vocabulary-Informed Zero-Shot and Open-Set Learning (TPAMI 2020) [Paper]

  • Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice (TPAMI 2020) [Paper] [Code]

WACV

  • The Overlooked Elephant of Object Detection: Open Set (WACV 2020) [Paper] [Code]
    Datasets: PASCAL VOC, MSCOCO
    Task: Object Detection

ICMLw

  • An Open-World Simulated Environment for Developmental Robotics (ICMLw 2020) [Paper]

  • A Critical Evaluation of Open-World Machine Learning (ICMLw 2020) [Paper]

ECCVw

  • Improved Robustness to Open Set Inputs via Tempered Mixup (ECCVw 2020) [Paper]

Other Journals and Conferences

  • Boosting Deep Open World Recognition by Clustering (IROS/RAL 2020) [Paper]

  • Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets? (Plos One 2020) [Paper]

  • Open-set Face Recognition for Small Galleries Using Siamese Networks (IWSSIP 2020) [Paper]

  • Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation (TMM 2020) [Paper] [Code]

  • P-ODN: Prototype based Open Deep Network for Open Set Recognition (Scientific Reports 2020) [Paper]

  • Towards Open-Set Semantic Segmentation of Aerial Images (LAGIRS 2020) [Paper]

  • Centralized Large Margin Cosine Loss for Open-Set Deep Palmprint Recognition (IEEE Transactions on Circuits and Systems for Video Technology 2020) [Paper]

  • Joint Partial Optimal Transport for Open Set Domain Adaptation (IJCAI 2020) [Paper]

  • Open-World Class Discovery with Kernel Networks (ICDM 2020 Best paper candidate) [Paper]

Arxiv & Others

  • One-vs-Rest Network-based Deep Probability Model for Open Set Recognition (Arxiv 2020) [Paper]

  • Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation (Arxiv 2020) [Paper]

  • Known-class Aware Self-ensemble for Open Set Domain Adaptation (Arxiv 2020) [Paper]

  • Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion (Arxiv 2020) [Paper]

2019 Papers

CVPR

  • C2AE: Class Conditioned Auto-Encoder for Open-set Recognition (CVPR 2019) [Paper] [Code]
    Datasets: MNIST, SVHN, CIFAR10, CIFAR+10, CIFAR+50, TinyImageNet
    Task: Image Classification

  • Large-Scale Long-Tailed Recognition in an Open World (CVPR 2019 Oral) [Paper] [Code]
    Datasets: ImageNet-LT (object-centric), Places-LT (scene-centric),and MS1M-LT (face-centric)
    Task: Domain Adaptation

  • Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019) [Paper] [Code]
    Datasets: Office-31, Office-Home, VisDA-17, Digits, Caltech-ImageNet
    Task: Domain Adaptation

  • Classification-Reconstruction Learning for Open-Set Recognition (CVPR 2019) [Paper] [Code]
    Datasets: MNIST, CIFAR-10, SVHN, Tiny-ImageNet, and DBpedia
    Task: Image Classification-Reconstruction Learning

  • Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration (CVPR 2019) [Paper]
    Datasets: DukeMTMC-reID, Office
    Task: Domain Adaptation

  • FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery (CVPR 2019 Oral) [Paper]

ICLR

  • Learning Factorized Representations for Open-set Domain Adaptation (ICLR 2019) [Paper]
    Datasets: Bing(B), Caltech256(C), ImageNet(I) and SUN(S), hence referred to as BCIS, Office, namely Amazon(A), DSLR(D) and Webcam(W)
    Task: Image Classification

ICCV

  • Attract or Distract: Exploit the Margin of Open Set (ICCV 2019) [Paper] [Code]
    Datasets: Office-31, Digit
    Task: Domain Adaptation

AAAI

  • An Open-World Extension to Knowledge Graph Completion Models (AAAI 2019) [Paper]

BMVC

  • Generalized Zero-shot Learning using Open Set Recognition (BMVC 2019) [Paper]
    Datasets: AWA1, APY, FLO, and CUB
    Task: Image Classification

  • Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss (BMVC 2019) [Paper]
    Datasets: CECT, Simulation using PDB2VOL program
    Task: Subtomogram Recognition

ICCVw

  • Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? (ICCVw 2019) [Paper]

Arxiv & Others

  • Open-world Learning and Application to Product Classification (WWW 2019) [Paper] [Code]
    Datasets: product descriptions from the Amazon Datasets
    Task: Image Classification

  • The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning (ICRA 2019) [Paper]

  • Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition (ICRA 2019) [Paper]

  • Identifying Unknown Instances for Autonomous Driving (CoRL 2019) [Paper]

  • Known-class Aware Self-ensemble for Open Set Domain Adaptation (Arxiv 2019) [Paper]

  • An In-Depth Study on Open-Set Camera Model Identification (IEEE Access 2019) [Paper]

  • Open Set Incremental Learning for Automatic Target Recognition (IEEE Transactions on Geoscience and Remote Sensing 2019) [Paper]

  • Multi-stage Deep Classifier Cascades for Open World Recognition (CIKM 2019) [Paper]

  • Enabling Open-World Specification Mining via Unsupervised Learning (Arxiv 2019) [Paper]

  • Open-world Learning and Application to Product Classification (WWW 2019) [Paper]

2018 Papers

CVPR

  • Iterative Learning With Open-Set Noisy Labels (CVPR 2018) [Paper]
    Datasets: CIFAR-10+SVHN, CIFAR-10+CIFAR-100 and CIFAR-10+ImageNet3, CIFAR-100/ImageNet32
    Task: Image Classification

  • Towards Open-Set Identity Preserving Face Synthesis (CVPR 2018) [Paper]
    Datasets: MS-Celeb-1M, LFW, Multi-PIE
    Task: Object Detection

  • Polarimetric Synthetic-Aperture-Radar Change-Type Classification With a Hyperparameter-Free Open-Set Classifier (CVPRw 2018) [Paper]

ICML

  • Open Category Detection with PAC Guarantees (ICML 2018) [Paper]
    Datasets: Landsat, Opt.digits, pageb, Shuttle, Covertype and MNIST, Tiny ImageNet
    Task: Image Classification

ECCV

  • Bayesian Semantic Instance Segmentation in Open Set World (ECCV 2018) [Paper]
    Datasets: COCO, NYU
    Task: Semantic Segmentation

  • Open Set Learning with Counterfactual Images (ECCV 2018) [Paper]
    Datasets: MNIST, SVHN, CIFAR-10, and Tiny-Imagenet
    Task: Counterfactual Image Generation, Image Classification

  • Open Set Domain Adaptation by Backpropagation (ECCV 2018) [Paper]
    Datasets: Office, VisDA and digits
    Task: Domain Adaptation

  • Improving Generalization via Scalable Neighborhood Component Analysis (ECCV 2018) [Paper]

AAAI

  • Open-World Knowledge Graph Completion (AAAI 2018) [Paper]

TPAMI

  • Open Set Domain Adaptation for Image and Action Recognition (TPAMI 2018) [Paper]

  • The Extreme Value Machine (TPAMI 2018) [Paper]

Arxiv & Others

  • Dropout Sampling for Robust Object Detection in Open-Set Conditions (ICRA 2018) [Paper]

Older Papers

  • Toward Open Set Recognition (TPAMI 2012) [Paper]
    Datasets: Caltech 256, ImageNet
    Task: Image Classification

  • Multi-class Open Set Recognition Using Probability of Inclusion (ECCV 2014) [Paper]
    Datasets:LETTER, MNIST
    Task: Image Classification

  • Toward an Efficient Multi-class Classification in an Open Universe (Arxiv 2015) [Paper]

  • Online Open World Recognition (Arxiv 2016) [Paper]

  • Towards Open World Recognition (CVPR 2015) [Paper] [Code]
    Datasets: ImageNet 2010
    Task: Image Classification

  • Towards Open Set Deep Networks (OpenMax) (CVPR 2016) [Paper]
    Datasets: ILSVRC 2012
    Task: Image Classification

  • Generative OpenMax for multi-class open set classification (BMVC 2017) [Paper]
    Datasets: : MNIST, HASYv2
    Task: Image Classification

  • Probability Models for Open Set Recognition (TPAMI 2014) [Paper]

  • Open Set Domain Adaptation (ICCV 2017) [Paper]

  • Sparse Representation-Based Open Set Recognition (TPAMI 2017) [Paper]

  • Towards unsupervised open-set person re-identification (ICIP 2016) [Paper]

  • Detecting and classifying scars, marks, and tattoos found in the wild (BTAS 2012) [Paper]

  • Toward Open-Set Face Recognition (CVPRw 2017) [Paper]

  • Towards Open-World Person Re-Identification by One-Shot Group-Based Verification (TPAMI 2016) [Paper]

  • Open-World Visual Recognition Using Knowledge Graphs (Arxiv 2017) [Paper]

  • Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration (AAAI 2017) [Paper]

  • Online Open World Recognition (Arxiv 2016) [Paper]

Open-Set Recognition Videos

2023 Papers

CVPR

  • Enlarging Instance-specific and Class-specific Information for Open-set Action Recognition (CVPR 2023) [Paper]

  • AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation (CVPR 2023) [Paper]

  • Open Set Action Recognition via Multi-Label Evidential Learning (CVPR 2023) [Paper]

  • OpenGait: Revisiting Gait Recognition Towards Better Practicality (CVPR 2023) [Paper]

  • Open-Category Human-Object Interaction Pre-training via Language Modeling Framework (CVPR 2023) [Paper]

  • SUDS: Scalable Urban Dynamic Scenes (CVPR 2023) [Paper]

WACV

  • Reconstructing Humpty Dumpty: Multi-Feature Graph Autoencoder for Open Set Action Recognition (WACV 2023) [Paper] [Code]
    Datasets: HMDB-51, UCF-101
    Task: Action Recognition

Arxiv & Others

  • Video Instance Segmentation in an Open-World (Arxiv 2023) [Paper]

  • Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks (Arxiv 2023) [Paper]

  • POAR: Towards Open-World Pedestrian Attribute Recognition (Arxiv 2023) [Paper]

  • Learning to Operate in Open Worlds by Adapting Planning Models (AAMAS 2023) [Paper]

  • PyReason: Software for Open World Temporal Logic (AAAI 2023) [Paper]

  • NovPhy: A Testbed for Physical Reasoning in Open-world Environments (Arxiv 2023) [Paper]

  • Improving Audio-Visual Video Parsing with Pseudo Visual Labels (Arxiv 2023) [Paper]

  • Open-World Object Manipulation using Pre-trained Vision-Language Models (Arxiv 2023) [Paper]

  • Towards Generalized Robot Assembly through Compliance-Enabled Contact Formations (ICRA 2023) [Paper]

  • Discovering Novel Actions in an Open World with Object-Grounded Visual Commonsense Reasoning (Arxiv 2023) [Paper]

  • Temporal-controlled Frame Swap for Generating High-Fidelity Stereo Driving Data for Autonomy Analysis (Arxiv 2023) [Paper]

2022 Papers

CVPR

  • Opening Up Open World Tracking (CVPR 2022) [Paper] [Code]
    Datasets: TAO-OW
    Task: Object Tracking

  • OpenTAL: Towards Open Set Temporal Action Localization (CVPR 2022) [Paper] [Code]
    Datasets: THUMOS14, ActivityNet1.3
    Task: Temporal Action Localization

  • UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection (CVPR 2022) [Paper] [Code]
    Datasets: UBnormal, CHUK, Avenue, Shang-hai Tech
    Task: Anomaly Detection

  • Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity (CVPR 2022) [Paper]
    Datasets: COCO 17, LVIS, UVO (videos), ADE20k
    Task: Instance Segmentation

ECCV

  • Towards Open Set Video Anomaly Detection (ECCV 2022) [Paper]
    Datasets: XD Violence, UCF Crime, ShanghaiTech Campus
    Task: Anomaly Detection

Arxiv & Others

  • Human Activity Recognition in an Open World (Submitted to JAIR 2022) [Paper]

  • Self-Initiated Open World Learning for Autonomous AI Agents (AAAI 2022 Spring Symposium Series) [Paper]

  • UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place Solution (Arxiv 2022) [Paper]

2021 Papers

CVPR

  • Generalizing to the Open World: Deep Visual Odometry With Online Adaptation (CVPR 2021) [Paper]
    Datasets: Cityscapes, KITTI, indoor TUM, NYUv2
    Task: Depth Estimation

ICCV

  • Evidential Deep Learning for Open Set Action Recognition (ICCV 2021) [Paper] [Code]
    Datasets: UCF-101, HMDB-51, MiT-v2
    Task: Action Recognition

  • Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation (ICCV 2021) [Paper]
    Datasets: UVO, COCO
    Task: Video Object Detection and Segmentation

  • Conditional Extreme Value Theory for Open Set Video Domain Adaptation (MMAsia 2021) [Paper]

  • Dual Metric Discriminator for Open Set Video Domain Adaptation (ICASSP 2021) [Paper]

  • Open-World Active Learning with Stacking Ensemble for Self-Driving Cars (Arxiv 2021) [Paper]

  • Physical Reasoning in an Open World (ACS 2021) [Paper]

  • Person Re-identification based on Robust Features in Open-world (Arxiv 2021) [Paper]

  • Online Action Recognition (AAAI 2021) [Paper]

  • ViNG: Learning Open-World Navigation with Visual Goals (ICRA 2021) [Paper]

Older Papers

  • Specifying weight priors in bayesian deep neural networks with empirical bayes (AAAI 2020) [Paper]
    Datasets: UCF-101, Urban Sound 8K, MNIST, Fashion-MNIST, CIFAR10
    Task: Image and Audio Classification, Video Activity Recognition

  • P-ODN: prototype-based open Deep network for open Set Recognition (Scientific Reports 2020) [Paper]
    Datasets: UCF11, UCF50, UCF101 and HMDB51
    Task: Action Recognition

  • Uncertainty-aware audiovisual activity recognition using deep bayesian variational inference (ICCV 2019) [Paper]
    Datasets: MiT
    Task: Audiovisual Action Recognition

  • Bayesian activity recognition using variational inference (NeurIPS 2018) [Paper]
    Datasets: MiT video activity recognition dataset
    Task: Action Recognition

  • ODN: Opening the deep network for open-set action recognition (ICME 2018) [Paper]
    Datasets: HMDB51, UCF50, UCF101
    Task: Action Recognition

  • Open-World Stereo Video Matching with Deep RNN (ECCV 2018) [Paper]
    Datasets: KITTI VO, Middlebury Stereo 2005 & 2006, Freiburg Sceneflow, Random dot, Synthia
    Task: Stereo Video Matching

  • Adversarial Open-World Person Re-Identification (ECCV 2018) [Paper]
    Datasets: Market-1501, CUHK01, CUHK03
    Task: Person Re-Identification

  • From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer (ICCV 2019) [Paper] [Code]
    Datasets: Synthesized Cell Counting, UCF-QNRF, ShanghaiTech, UCFCC50, TRANCOS and MTC
    Task: Visual Counting

  • AutOTranS: an Autonomous Open World Transportation System (Arxiv 2018) [Paper]

  • From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts (Arxiv 2018) [Paper]

  • Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition (CoRL 2018 Oral) [Paper]

  • Towards Large-Scale Video Video Object Mining (ECCVw 2018) [Paper]