ICCV2021.md

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ICCV2021最新信息及论文下载贴（Papers/Codes/Project/PaperReading／Demos/直播分享／论文分享会等）

官网链接：http://iccv2021.thecvf.com
时间：2021年10月11日-10月17日
论文接收公布时间：2021年7月22日

相关问题：

• 如何评价ICCV 2021 的论文接收结果？有哪些值得关注的研究？
  

目录

1. ICCV2021接受论文/代码分方向汇总（更新中）
2. ICCV2021 Oral（更新中）
3. ICCV2021论文解读汇总（更新中）

1.ICCV2021接受论文/代码分方向汇总（更新中）

分类目录：

1. 检测

• 2D目标检测(2D Object Detection)
• 视频目标检测(Video Object Detection)
• 3D目标检测(3D Object Detection)
• 人物交互检测(HOI Detection)
• 伪装目标检测(Camouflaged Object Detection)
• 旋转目标检测(Rotation Object Detection)
• 显著性目标检测(Saliency Object Detection)
• 图像异常检测(Anomally Detection in Image)
• 关键点检测(Keypoint Detection)

2. 分割(Segmentation)

• 图像分割(Image Segmentation)
• 全景分割(Panoptic Segmentation)
• 语义分割(Semantic Segmentation)
• 实例分割(Instance Segmentation)
• 超像素(Superpixel)
• 视频目标分割(Video Object Segmentation)
• 抠图(Matting)
• 密集预测(Dense Prediction)

3. 图像处理(Image Processing)

• 超分辨率(Super Resolution)
• 图像复原/图像增强(Image Restoration)
• 图像去阴影/去反射(Image Shadow Removal/Image Reflection Removal)
• 图像去噪/去模糊/去雨去雾(Image Denoising)
• 图像编辑/修复(Image Edit/Image Inpainting)
• 图像翻译(Image Translation)
• 图像质量评估(Image Quality Assessment)
• 风格迁移(Style Transfer)

4. 估计(Estimation)

• 姿态估计(Pose Estimation)
• 手势估计(Gesture Estimation)
• 光流/位姿/运动估计(Flow/Pose/Motion Estimation)
• 深度估计(Depth Estimation)

5. 图像&视频检索/理解(Image&Video Retrieval/Video Understanding)

• 行为识别/行为识别/动作识别/检测/分割(Action/Activity Recognition)
• 行人重识别/检测(Re-Identification/Detection)
• 图像/视频字幕(Image/Video Caption)

6. 人脸(Face)

• 人脸识别/检测(Facial Recognition/Detection)
• 人脸生成/合成/重建/编辑(Face Generation/Face Synthesis/Face Reconstruction/Face Editing)
• 人脸伪造/反欺骗(Face Forgery/Face Anti-Spoofing)

7. 三维视觉(3D Vision)

• 点云(Point Cloud)
• 三维重建(3D Reconstruction)

8. 目标跟踪(Object Tracking)

9. 医学影像(Medical Imaging)

10. 文本检测/识别(Text Detection/Recognition)

11. 遥感图像(Remote Sensing Image)

12. GAN/生成式/对抗式(GAN/Generative/Adversarial)

13. 图像生成/合成(Image Generation/Image Synthesis)

• 视图合成(View Synthesis)

14. 场景图(Scene Graph)

• 场景图生成(Scene Graph Generation)
• 场景图预测(Scene Graph Prediction)
• 场景图理解(Scene Graph Understanding)

15. 视觉定位(Visual Localization)

• 图像匹配(Image Matching)

16. 视觉推理/视觉问答(Visual Reasoning/VQA)

17. 图像分类(Image Classification)

18. 神经网络设计与优化(Neural Network Design & Optimization)

• CNN
• Attention
• Transformer
• 图神经网络(GNN)
• 神经网络架构搜索(NAS)
• 损失函数(Loss Function)

19. 模型压缩(Model Compression)

• 知识蒸馏(Knowledge Distillation)
• 剪枝(Pruning)
• 量化(Quantization)

20. 模型训练/泛化(Model Training/Generalization)

• 噪声标签(Noisy Label)
• 长尾分布(Long-Tailed Distribution)

21. 模型评估(Model Evaluation)

22. 数据处理(Data Processing)

• 数据增广(Data Augmentation)
• 表征学习(Representation Learning)
• 归一化/正则化(Batch Normalization)
• 图像聚类(Image Clustering)
• 图像压缩(Image Compression)
• 异常检测(Anomaly Detection)

23. 主动学习(Active Learning)

24. 小样本学习/零样本学习(Few-shot/Zero-shot Learning)

25. 持续学习(Continual Learning/Life-long Learning)

26. 迁移学习/domain/自适应(Transfer Learning/Domain Adaptation)

27. 度量学习(Metric Learning)

28. 对比学习(Contrastive Learning)

29. 增量学习(Incremental Learning)

30. 强化学习(Reinforcement Learning)

31. 元学习(Meta Learning)

32. 多模态学习(Multi-Modal Learning)

• 视听学习(Audio-visual Learning)

33. 视觉预测(Vision-based Prediction)

34. 数据集(Dataset)

暂无分类

检测

2D目标检测(2D Object Detection)

[6] SimROD: A Simple Adaptation Method for Robust Object Detection
paper

[5] Active Learning for Deep Object Detection via Probabilistic Modeling
paper

[4] Detecting Invisible People
paper | project | video

[3] Conditional Variational Capsule Network for Open Set Recognition
paper | code

[2] MDETR : Modulated Detection for End-to-End Multi-Modal Understanding(Oral)
paper | code | project | colab

[1] DetCo: Unsupervised Contrastive Learning for Object Detection
paper | code

3D目标检测(3D Object Detection)

[1] Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
paper

图像异常检测(Anomally Detection in Image)

[1] Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection
paper

分割(Segmentation)

图像分割(Image Segmentation)

[2] Labels4Free: Unsupervised Segmentation using StyleGAN
paper | code | project

[1] Mining Latent Classes for Few-shot Segmentation(Oral)
paper | code

实例分割(Instance Segmentation)

[2] Crossover Learning for Fast Online Video Instance Segmentation
code

[1] Instances as Queries
paper | code

语义分割(Semantic Segmentation)

[6] Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation
paper

[5] ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation(点云语义分割)
paper

[4] Domain Adaptive Video Segmentation via Temporal Consistency Regularization(video semantic segmentation)
paper | code

[3] Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation(Oral)
paper

[2] Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation(Oral)
paper | code

[1] Calibrated Adversarial Refinement for Stochastic Semantic Segmentation
paper | code

人脸(Face)

人脸识别/检测(Facial Recognition/Detection)

人脸生成/合成/重建/编辑(Face Generation/Face Synthesis/Face Reconstruction/Face Editing)

[3] MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement(音频驱动面部动画)
paper | video

[2] Focal Frequency Loss for Image Reconstruction and Synthesis
paper | code

[1] HeadGAN: One-shot Neural Head Synthesis and Editing
paper

三维视觉(3D Vision)

[1] Score-Based Point Cloud Denoising
paper

点云(Point Cloud)

[1] HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration
paper | project

三维重建(3D Reconstruction)

[1] PlaneTR: Structure-Guided Transformers for 3D Plane Recovery
paper | code

神经网络设计与优化(Neural Network Structure Design & Optimization)

[1] Energy-Based Open-World Uncertainty Modeling for Confidence Calibration(置信度校准)
paper

[2] Learning to Resize Images for Computer Vision Tasks
paper

[1] Bias Loss for Mobile Neural Networks
paper

Attention

[2] SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition
paper | code

[1] FcaNet: Frequency Channel Attention Networks
paper | code

Transformer

[4] AutoFormer: Searching Transformers for Visual Recognition
paper | code

[3] Rethinking Spatial Dimensions of Vision Transformers
paper | code

[2] Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers(Oral)
paper | code

[1] Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions(Oral)
paper | code
解读：金字塔视觉Transformer(PVT)：用于密集预测的多功能backbone

神经网络架构搜索(NAS)

[1] AutoFormer: Searching Transformers for Visual Recognition
paper | code

损失函数(Loss Function)

[3] Rank & Sort Loss for Object Detection and Instance Segmentation(Oral)
paper | code

[2] Focal Frequency Loss for Image Reconstruction and Synthesis
paper | code

[1] Orthogonal Projection Loss
paper | code

图像生成/合成(Image Generation/Image Synthesis)

[3] A Light Stage on Every Desk
paper | project

[2] Handwriting Transformers
paper

[1] On Generating Transferable Targeted Perturbations
paper | code

GAN/生成式/对抗式(GAN/Generative/Adversarial)

[6] Learnable Boundary Guided Adversarial Training
paper | code

[5] Transporting Causal Mechanisms for Unsupervised Domain Adaptation(Oral)
paper

[4] Robustness via Cross-Domain Ensembles(Oral)
paper | code | model | homepage | video

[3] HeadGAN: One-shot Neural Head Synthesis and Editing
paper

[2] Labels4Free: Unsupervised Segmentation using StyleGAN
paper | code | project

[1] EigenGAN: Layer-Wise Eigen-Learning for GANs
paper | code

图像处理(Image Processing)

[2] Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform
paper

[1] Equivariant Imaging: Learning Beyond the Range Space(Oral)
paper

超分辨率(Super Resolution)

[1] Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks
paper | code

风格迁移(Style Transfer)

[2] ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity(风格迁移)
paper | [cod]

[1] Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts(字体生成)
paper | code

估计(Estimation)

姿态估计(Human Pose Estimation)

[3] Human Pose Regression with Residual Log-likelihood Estimation(Oral)
paper | code

[2] PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop(Oral)
paper | code | project

[1] HuMoR: 3D Human Motion Model for Robust Pose Estimation(Oral)
paper | video | project

深度估计(Depth Estimation)

[1] MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
paper

图像&视频检索/理解(Image&Video Retrieval/Video Understanding)

[2] Hand Image Understanding via Deep Multi-Task Learning(手部图像理解)
paper

[1] Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation
paper

行为识别/行为识别/动作识别/检测/分割(Action/Activity Recognition)

[2] Enriching Local and Global Contexts for Temporal Action Localization
paper

[1] Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
paper | code

行人重识别/检测(Re-Identification/Detection)

[2] Spatio-Temporal Representation Factorization for Video-based Person Re-Identification
paper

[1] TransReID: Transformer-based Object Re-Identification
paper | code
解读：来自Transformer的降维打击：ReID各项任务全面领先，阿里&浙大提出TransReID

视觉定位(Visual Localization)

[3] Normalization Matters in Weakly Supervised Object Localization
paper

[2] TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization
paper | code

[1] Boundary-sensitive Pre-training for Temporal Localization in Videos
paper

图像匹配(Image Matching)

[2] Warp Consistency for Unsupervised Learning of Dense Correspondences(Oral)
paper | code

[1] COTR: Correspondence Transformer for Matching Across Images
paper

三维视觉(3D Vision)

[1] MVTN: Multi-View Transformation Network for 3D Shape Recognition
paper

目标跟踪(Object Tracking)

[2] Learning to Adversarially Blur Visual Object Tracking
paper | code

[1] Detecting Invisible People
paper | project | video

医学影像(Medical Imaging)

[1] Generative Adversarial Registration for Improved Conditional Deformable Templates
paper | code | homepage

文本检测/识别(Text Detection/Recognition)

[4] Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection
paper

[3] Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition
paper

[2] Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation
paper

[1] Towards the Unseen: Iterative Text Recognition by Distilling from Errors
paper

遥感图像(Remote Sensing Image)

[3] Change is Everywhere Single-Temporal Supervised Object Change Detection for High Spatial Resolution Remote Sensing Imagery(变化检测)
code

[2] Geography-Aware Self-Supervised Learning
paper

[1] Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data(迁移学习)
paper ｜ code

场景图(Scene Graph)

场景图生成(Scene Graph Generation)

[2] Spatial-Temporal Transformer for Dynamic Scene Graph Generation
paper

[1] Unconstrained Scene Generation with Locally Conditioned Radiance Fields
paper

场景图预测(Scene Graph Prediction)

[1] Generative Compositional Augmentations for Scene Graph Prediction
paper | code

数据处理(Data Processing)

数据增广(Data Augmentation)

[1] MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks
paper

异常检测(Anomaly Detection)

[1] Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
paper | code

表征学习(Representation Learning)

[1] In-Place Scene Labelling and Understanding with Implicit Scene Representation(Oral)
paper | project

归一化/正则化(Batch Normalization)

图像聚类(Image Clustering)

[3] Graph Constrained Data Representation Learning for Human Motion Segmentation(人体运动分割)
paper

[2] Improve Unsupervised Pretraining for Few-label Transfer
paper

[1] Clustering by Maximizing Mutual Information Across Views
paper

迁移学习/domain/自适应(Transfer Learning/Domain Adaptation)

[6] Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate
paper

[5] Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation(Oral)
paper

[4] Improve Unsupervised Pretraining for Few-label Transfer
paper

[3] Generalized Source-free Domain Adaptation
homepage | code

[2] Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data(迁移学习)
paper ｜ code

[1] Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling(迁移学习)
paper

度量学习(Metric Learning)

[1] Learning with Memory-based Virtual Classes for Deep Metric Learning
paper

增量学习(Incremental Learning)

[1] Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
paper | code | project

对比学习(Contrastive Learning)

[3] Parametric Contrastive Learning
paper | code

[2] Geography-Aware Self-Supervised Learning
paper

[1] CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
paper | code

主动学习(Active Learning)

[1] Active Learning for Deep Object Detection via Probabilistic Modeling
paper

视觉推理/视觉问答(Visual Reasoning/VQA)

[3] Greedy Gradient Ensemble for Robust Visual Question Answering
paper | code

[2] On the hidden treasure of dialog in video question answering
paper

[1] Just Ask: Learning to Answer Questions from Millions of Narrated Videos(Oral)
paper | code | project

视觉预测(Vision-based Prediction)

[1] On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
paper | code

数据集(Dataset)

[1] 4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface(4D重建)
paper | dataset | video

暂无分类

Spatial Uncertainty-Aware Semi-Supervised Crowd Counting(人群计数)
paper

Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework(Oral)(人群计数)
paper | code

Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd Counting(人群计数)
paper | code

Self-Conditioned Probabilistic Learning of Video Rescaling(视频压缩)
paper

Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives(手势生成)
paper

Temporal-wise Attention Spiking Neural Networks for Event Streams Classification
paper

Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data（视频翻译/医学/视频合成）
paper

Pathdreamer: A World Model for Indoor Navigation(视觉导航)
paper

IPOKE: POKING A STILL IMAGE FOR CONTROLLED STOCHASTIC VIDEO SYNTHESIS
paper | code | project

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
paper | project

KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
paper | code

2. ICCV2021 Oral（更新中）

[18] Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation(Oral)
paper

[17] Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework(Oral)(人群计数)
paper | code

[16] Rank & Sort Loss for Object Detection and Instance Segmentation(Oral)
paper | code

[15] Transporting Causal Mechanisms for Unsupervised Domain Adaptation
paper

[14] Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation(Oral)
[paper](https://arxiv.org/abs/2107.11264

[13] Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation(Oral)
paper | code

[12] Human Pose Regression with Residual Log-likelihood Estimation(Oral)
paper | code

[11] Robustness via Cross-Domain Ensembles(Oral)
paper | code | model | homepage

[10] Warp Consistency for Unsupervised Learning of Dense Correspondences(Oral)
paper | code

[9] PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop(Oral)
paper | code | project

[8] HuMoR: 3D Human Motion Model for Robust Pose Estimation(Oral)
paper | video | project

[7] Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers(Oral)
paper | code

[6] Equivariant Imaging: Learning Beyond the Range Space(Oral)
paper

[5] MDETR : Modulated Detection for End-to-End Multi-Modal Understanding(Oral)
paper | code | project | colab

[4] Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions(Oral)
paper | code
解读：金字塔视觉Transformer(PVT)：用于密集预测的多功能backbone

[3] Mining Latent Classes for Few-shot Segmentation(Oral)
paper | code

[2] In-Place Scene Labelling and Understanding with Implicit Scene Representation(Oral)
paper | project

[1] Just Ask: Learning to Answer Questions from Millions of Narrated Videos(Oral)
paper | code

3. ICCV2021论文解读汇总（更新中）

[2] TransReID: Transformer-based Object Re-Identification
paper | code
解读：来自Transformer的降维打击：ReID各项任务全面领先，阿里&浙大提出TransReID

[1] Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions(Oral)
paper | code
解读：金字塔视觉Transformer(PVT)：用于密集预测的多功能backbone