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Contents

Long Tail

Surveys

  • Deep Long-Tailed Learning: A Survey (Arxiv 2021) [Paper]

2023 Papers

CVPR

  • Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition (CVPR 2023) [Paper]

  • Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions (CVPR 2023) [Paper]

  • Balancing Logit Variation for Long-tailed Semantic Segmentation (CVPR 2023) [Paper]

  • Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution (CVPR 2023) [Paper]

  • Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need (CVPR 2023) [Paper]

  • Rethinking Image Super Resolution from Long-Tailed Distribution Learning Perspective (CVPR 2023) [Paper]

  • Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation (CVPR 2023) [Paper]

  • FCC: Feature Clusters Compression for Long-Tailed Visual Recognition (CVPR 2023) [Paper]

  • Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification (CVPR 2023) [Paper]

  • Balanced Product of Calibrated Experts for Long-Tailed Recognition (CVPR 2023) [Paper]

  • SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail (CVPR 2023) [Paper]

  • No One Left Behind: Improving the Worst Categories in Long-Tailed Learning (CVPR 2023) [Paper]

ICLR

  • CUDA: Curriculum of Data Augmentation for Long-tailed Recognition (ICLR 2023 top 25%) [Paper]
    Datasets: CIFAR-100-LT, ImageNet-LT, iNaturalist 2018
    Task: Image Classification

  • Decoupled Training for Long-Tailed Classification With Stochastic Representations (ICLR 2023) [Paper]

  • Long-Tailed Partial Label Learning via Dynamic Rebalancing (ICLR 2023) [Paper]

  • Long-Tailed Learning Requires Feature Learning (ICLR 2023) [Paper]

  • LPT: Long-tailed Prompt Tuning for Image Classification (ICLR 2023) [Paper]

  • Delving into Semantic Scale Imbalance (ICLR 2023) [Paper]

  • On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. (ICLR 2023) [Paper]

  • Temperature Schedules for self-supervised contrastive methods on long-tail data (ICLR 2023) [Paper]

WACV

  • Dynamic Re-Weighting for Long-Tailed Semi-Supervised Learning (WACV 2023) [Paper]
    Datasets: CIFAR-10, CIFAR-100, ImageNet127
    Task: Image Classification

  • Difficulty-Net: Learning To Predict Difficulty for Long-Tailed Recognition (WACV 2023) [Paper] [Code]
    Datasets: CIFAR100-LT, ImageNet-LT, Places-LT
    Task: Image Classification

  • Mutual Learning for Long-Tailed Recognition (WACV 2023) [Paper]
    Datasets: CIFAR100-LT,ImageNet-LT, and iNaturalist 2018
    Task: Image Classification

2022 Papers

CVPR

  • C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection (CVPR 2022) [Paper]
    Datasets: LVIS
    Task: Object Detection

  • Long-Tail Recognition via Compositional Knowledge Transfer (CVPR 2022) [Paper]
    Datasets: ImageNet-LT and Places-LT
    Task: Image Classification

  • Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance (CVPR 2022) [Paper]
    Datasets: LVIS
    Task: Instance Segmentation

  • Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance (CVPR 2022) [Paper]
    Datasets: LVIS
    Task: Instance Segmentation

  • RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition (CVPR 2022) [Paper] [Code]
    Datasets: GQA-LT; VG8K-LT; VG200
    Task: Relationship Recognition

  • Long-Tailed Recognition via Weight Balancing (CVPR 2022) [Paper] [Code]
    Datasets: CIFAR100-LT; ImageNet-LT; iNaturalist
    Task: Image Classification

  • Equalized Focal Loss for Dense Long-Tailed Object Detection (CVPR 2022) [Paper] [Code]
    Datasets: LVIS v1
    Task: Object Detection

  • Targeted Supervised Contrastive Learning for Long-Tailed Recognition (CVPR 2022) [Paper]
    Datasets: CIFAR-10-LT & CIFAR-100-LT; ImageNet-LT; iNaturalist
    Task: Image Classification

  • Balanced Contrastive Learning for Long-Tailed Visual Recognition (CVPR 2022) [Paper]
    Datasets: CIFAR-10-LT & CIFAR-100-LT; ImageNet-LT; iNaturalist
    Task: Image Classification

  • Trustworthy Long-Tailed Classification (CVPR 2022) [Paper] [[Code]]
    Datasets: (CIFAR-10-LT, CIFAR-100-LT and ImageNet-LT) and three balanced OOD datasets (SVHN, ImageNet-open and Places-open)
    Task: Image Classification

  • Nested Collaborative Learning for Long-Tailed Visual Recognition (CVPR 2022) [Paper] [Code]
    Datasets: CIFAR-10-LT & CIFAR-100-LT; ImageNet-LT; iNaturalist; Places-LT
    Task: Image Classification

  • The Majority Can Help the Minority: Context-Rich Minority Oversampling for Long-Tailed Classification (CVPR 2022) [Paper] [Code]
    Datasets: CIFAR-10-LT, CIFAR-100-LT, ImageNet-LT, and iNaturalist2018
    Task: Image Classification

  • Retrieval Augmented Classification for Long-Tail Visual Recognition (CVPR 2022) [Paper]
    Datasets: iNaturalist; Places365-LT
    Task: Image Retrieval

  • Adaptive Hierarchical Representation Learning for Long-Tailed Object Detection (CVPR 2022) [Paper]
    Datasets: LVIS
    Task: Object Detection

  • Long-Tailed Visual Recognition via Gaussian Clouded Logit Adjustment (CVPR 2022) [Paper] [Code]
    Datasets: CIFAR-10-LT & CIFAR-100-LT; ImageNet-LT; iNaturalist; Places-LT
    Task: Image Classification

ICLR

  • Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix (ICLR 2022) [Paper]

NeurIPS

  • Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition (NeurIPS 2022) [Paper] [Code]
    Datasets: ImageNet-LT, CIFAR100-LT, Places-LT, iNaturalist 2018
    Task: Image Classification

ICML

  • Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing long-tailed Datasets (ICML 2022) [Paper] [Code]
    Datasets: long-tailed CIFAR10/100, CelebA-5, Places-LT
    Task: Out-of-Distribution Detection, Image Classification

  • Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition (ICML 2022) [Paper] [Code]
    Datasets: CIFAR10-LT, CIFAR100-LT, and ImageNet-LT
    Task: Image Classification

  • AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems (ICML 2022) [Paper]
    Datasets: CIFAR10-LT, CIFAR100-LT, and MNIST-LT
    Task: AUC optimization

ECCV

  • Long-Tail Detection with Effective Class-Margins (ECCV 2022) [Paper] [Code]
    Datasets: LVIS v1.0 and OpenImages
    Task: Image Classification

  • Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining (ECCV 2022) [Paper]
    Datasets: Waymo Open Dataset (camera+LiDAR)
    Task: Track Mining

  • Long-Tailed Instance Segmentation Using Gumbel Optimized Loss (ECCV 2022) [Paper] [Code]
    Datasets: LVISv1; LVISv0.5; CIFAR100-LT; ImageNet-LT, Places-LT
    Task: Image Classification

  • Learning with Free Object Segments for Long-Tailed Instance Segmentation (ECCV 2022) [Paper] [Code]
    Datasets: LVISv1; COCO-LT
    Task: Instance segmentation

  • Improving GANs for Long-Tailed Data through Group Spectral Regularization (ECCV 2022) [Paper] [Code]
    Datasets: CIFAR-10 and LSUN
    Task: Image Classification

  • Constructing Balance from Imbalance for Long-Tailed Image Recognition (ECCV 2022) [Paper] [Code]
    Datasets: ImageNet-LT, Places-LT, and iNaturalist18
    Task: Image Classification

  • On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond (ECCV 2022) [Paper] [Code]
    Datasets: VLCS-MLT; PACS-MLT; OfficeHome-MLT; TerraInc-MLT; DomainNet-MLT
    Task: Image Classification

  • Tackling Long-Tailed Category Distribution under Domain Shifts (ECCV 2022) [Paper] [Code]
    Datasets: AWA2-LTS; ImageNet-LTS
    Task: Image Classification

  • Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning (ECCV 2022) [Paper] [Code]
    Datasets: ADE20K; LVIS-v1.0
    Task: Image Classification

  • SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image Classification (ECCV 2022) [Paper]
    Datasets: CIFAR-LT-10,CIFAR-LT-100, Places-LT, ImageNet-LT, and iNaturalist2018
    Task: Image Classification

  • Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition (ECCV 2022) [Paper] [Code]
    Datasets: Places-LT, ImageNet-LT, and iNaturalist2018
    Task: Image Classification

  • Invariant Feature Learning for Generalized Long-Tailed Classification (ECCV 2022) [Paper] [Code]
    Datasets: ImageNet-GLT; MSCOCO-GLT
    Task: Image Classification

  • VL-LTR: Learning Class-Wise Visual-Linguistic Representation for Long-Tailed Visual Recognition (ECCV 2022) [Paper] [Code]
    Datasets: ImageNet-LT, Places-LT, and iNaturalist 2018
    Task: Image Classification

  • Identifying Hard Noise in Long-Tailed Sample Distribution (ECCV 2022) [Paper] [Code]
    Datasets: ImageNet-NLT, Animal10-NLT and Food101-NLT; Red Mini-ImageNet, Animal-10N and Food-101N
    Task: Image Classification

  • Long-Tailed Class Incremental Learning (ECCV 2022) [Paper] [Code]
    Datasets: CIFAR-100 and ImageNet-Subset with 100 classes
    Task: Image Classification

AAAI

  • 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

  • Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification (AAAI 2022) [Paper]

  • Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition (AAAI 2022) [Paper]

  • Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification (AAAI 2022) [Paper]

  • Memory-Based Jitter: Improving Visual Recognition on Long-Tailed Data with Diversity In Memory (AAAI 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

CVPRw

  • A Two-Stage Shake-Shake Network for Long-Tailed Recognition of SAR Aerial View Objects (CVPRw 2022) [Paper] [Code]
    Datasets: PBVS @ CVPR 2022 Multi-modal Aerial View Object Classification Challenge Track 1 (SAR images)
    Task: Image Classification

BMVC

  • Class-Balanced Loss Based on ClassVolume for Long-Tailed Object Recognition (BMVC 2022) [Paper]
    Datasets: CIFAR-LT, ImageNet-LT, Places-LT, and iNaturalist 2018
    Task: Image Classification

  • Unleashing the Potential of Vision-Language Models for Long-Tailed Visual Recognition (BMVC 2022) [Paper]
    Datasets: ImageNet-LT, Places-LT, and iNaturalist 2018, Conceptual 12M (CC12M), Conceptual Captions 3M (CC3M) and SBU Captions
    Task: Image Classification

2021 Papers

CVPR

  • Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification (CVPR 2021) [Paper]

  • PML: Progressive Margin Loss for Long-Tailed Age Classification (CVPR 2021) [Paper]

  • Adaptive Class Suppression Loss for Long-Tail Object Detection (CVPR 2021) [Paper]

  • Adversarial Robustness Under Long-Tailed Distribution (CVPR 2021) [Paper]

  • MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition (CVPR 2021) [Paper]

  • Disentangling Label Distribution for Long-Tailed Visual Recognition (CVPR 2021) [Paper]

  • Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts (CVPR 2021) [Paper]

  • Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition (CVPR 2021) [Paper]

  • Seesaw Loss for Long-Tailed Instance Segmentation (CVPR 2021) [Paper]

  • Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision (CVPR 2021) [Paper]

  • Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection (CVPR 2021) [Paper]

  • Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-Balanced Samplings (CVPR 2021) [Paper]

  • Improving Calibration for Long-Tailed Recognition (CVPR 2021) [Paper]

ICLR

  • Long-tail learning via logit adjustment (ICLR 2021 Spotlight) [Paper]

  • Long-tailed Recognition by Routing Diverse Distribution-Aware Experts (ICLR 2021 Spotlight) [Paper]

NeurIPS

  • On Model Calibration for Long-Tailed Object Detection and Instance Segmentation (NeurIPS 2021) [Paper]

  • Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective (NeurIPS 2021) [Paper]

  • Handling Long-tailed Feature Distribution in AdderNets (NeurIPS 2021) [Paper]

ICCV

  • Exploring Long Tail Visual Relationship Recognition With Large Vocabulary (ICCV 2021) [Paper]

  • Exploring Classification Equilibrium in Long-Tailed Object Detection (ICCV 2021) [Paper]

  • Distilling Virtual Examples for Long-Tailed Recognition (ICCV 2021) [Paper]

  • Distributional Robustness Loss for Long-Tail Learning (ICCV 2021) [Paper]

  • FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation (ICCV 2021) [Paper]

  • ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot (ICCV 2021) [Paper]

  • MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection (ICCV 2021) [Paper]

  • GistNet: A Geometric Structure Transfer Network for Long-Tailed Recognition (ICCV 2021) [Paper]

  • Self Supervision to Distillation for Long-Tailed Visual Recognition (ICCV 2021) [Paper]

ICML

  • Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection (ICML 2021) [Paper]

CVPRw

  • Long-Tailed Recognition of SAR Aerial View Objects by Cascading and Paralleling Experts (CVPRw 2021) [Paper]

WACV

  • Towards Resolving the Challenge of Long-Tail Distribution in UAV Images for Object Detection (WACV 2021) [Paper]

  • From Generalized Zero-Shot Learning to Long-Tail With Class Descriptors (WACV 2021) [Paper]

BMVC

  • Class-Balanced Distillation for Long-Tailed Visual Recognition (BMVC 2021) [Paper]
    Datasets: ImageNet-LT, iNaturalist17 and iNaturalist18
    Task: Image Classification

2020 Papers

CVPR

  • Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition (CVPR 2020) [Paper]

  • Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective (CVPR 2020) [Paper]

  • Domain Balancing: Face Recognition on Long-Tailed Domains (CVPR 2020) [Paper]

  • Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective (CVPR 2020) [Paper]

  • Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax (CVPR 2020) [Paper]

  • BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition (CVPR 2020) [Paper]

  • Equalization Loss for Long-Tailed Object Recognition (CVPR 2020) [Paper]

ICLR

  • Decoupling Representation and Classifier for Long-Tailed Recognition (ICLR 2020) [Paper] [[Code](github facebookresearch/classifier-balancing)]
    Datasets: AwA, CUB-200-2011, ImageNet, ImageNet-LT, Places, Places-LT, iNaturalist
    Task: Image Classification

NeurIPS

  • Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect (NeurIPS 2020) [Paper]

  • Balanced Meta-Softmax for Long-Tailed Visual Recognition (NeurIPS 2020) [Paper]

ECCV

  • Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets (ECCV 2020) [Paper]

  • Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification (ECCV 2020) [Paper]

  • Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier (ECCV 2020) [Paper]

  • The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation (ECCV 2020) [Paper]

  • Feature Space Augmentation for Long-Tailed Data (ECCV 2020) [Paper]

Older Papers

  • Large-Scale Long-Tailed Recognition in an Open World (CVPR 2019) [Paper]

  • Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data (CVPR 2019) [Paper]

  • FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network (CVPRw 2019) [Paper]

Long Tail Videos

2023 Papers

CVPR

  • Use Your Head: Improving Long-Tail Video Recognition (CVPR 2023) [Paper]

  • FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework For Long-tail Trajectory Prediction (CVPR 2023) [Paper]

2021 Papers

ICCV

  • VideoLT: Large-Scale Long-Tailed Video Recognition (ICCV 2021) [Paper]

  • On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors (ICCV 2021) [Paper]