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ICCV2021最新信息及已接收论文/代码

官网链接:http://iccv2021.thecvf.com/home
开会时间:2021年10月11日至17日

❗❗❗🌟🌟🌟📗📗📗ICCV 2021收录论文已全部公布,下载可在【我爱计算机视觉】后台回复“paper”,即可收到。共计 1612 篇。

❗❗❗🌟🌟🌟全部论文已粗略分类完毕,请查阅

历年综述论文分类汇总戳这里↘️CV-Surveys施工中~~~~~~~~~~

2022 年论文分类汇总戳这里

↘️CVPR-2022-Papers ↘️WACV-2022-Papers

2021年论文分类汇总戳这里

↘️ICCV-2021-Papers ↘️CVPR-2021-Papers

2020 年论文分类汇总戳这里

↘️CVPR-2020-Papers ↘️ECCV-2020-Papers

目录

🐶 🐭 🐹 🐯
65.Optical Flow Estimation(光流估计)
61.Metric Learning(元学习) 62.Open-Set Recognition(开放集识别) 63.Data Augmentation(数据增强) 64.Anomaly Detection(异常检测)
57.Image Matching(图像匹配) 58.Computational Photography(光学、几何、光场成像、计算摄影) 59.Graph Neural Networks(图神经网络) 60.Federated Learning(联合学习)
53.Vision Localization(视觉定位) 54.Sketch recognition(草图) 55.Activity Recognition(活动识别) 56.Dataset(数据集)
49.Human-Object Interaction(人物交互) 50.Continual Learning(持续学习) 51.View Synthesis(视图合成) 52.Vision-and-Language(视觉语言)
45.Image Caption(图像字幕) 46.Defect Detection(缺陷检测) 47.NAS 48.6DoF
41.Out-of-Distribution Detection(OOD) 42.Visual Representations Learning(视觉表征学习) 43.Dense Prediction(密集预测) 44.Human motion prediction(人体运动预测)
37.Multitask Learning(多任务学习) 38.Weakly/Semi-Supervised/Self-supervised/Unsupervised Learning(自/半/弱监督学习) 39.Incremental Learning(增量学习) 40.Metric Learning(度量学习)
33.Remote Sensing Images(遥感影像) 34.Image Super-Resolution(图像超分辨率) 35.Quantization/Pruning/Knowledge Distillation/Model Compression(量化、剪枝、蒸馏、模型压缩/扩展与优化) 36.SLAM/AR/VR/机器人
29.Image Retrieval(图像检索) 30.Image Generation/synthesis(图像生成/合成) 31.Style Transfer(风格迁移) 32.语音
25.Medical Image(医学影像) 26.Image Processing(图像处理) 27.Multi-label image recognition(多标签图像识别) 28.Contrastive Learning(对比学习)]
21.Active Learning(主动学习) 22.GAN 23.Gaze Estimation(视线估计) 24.Face(人脸)
17.3D(三维视觉) 18.Transformers 19.Self-Driving Vehicles(自动驾驶) 20.Adversarial Learning(对抗学习)
13.Image Segmentation(图像分割) 14.Object Detection(目标检测) 15.Object Tracking(目标跟踪) 16.Re-Identification(重识别)
9.Video 10.OCR 11.Visual Question Answering(视觉问答) 12.Image/Fine-Grained Classification(图像/细粒度分类)
5.Few-Shot/Zero-Shot Learning;Domain Generalization/Adaptation(小/零样本学习;域适应/泛化) 6.Point Cloud(点云) 7.Scene Graph Generation(场景图生成) 8.Human Pose Estimation(人体姿态估计)
1.Other(其它) 2.Sign Language(手语识别) 3.Image Clustering(图像聚类) 4.Neural rendering(神经渲染)
Object Re-Identification目标(物体)重识别

Person Re-Identification(人员重识别)

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