ECCV2022-Paper-Code-Interpretation

ECCV2022 论文/代码/解读合集，极市团队整理

ECCV2022 最新论文分类

检索链接：https://arxiv.org/search/?query=ECCV2022&searchtype=all&source=header
更新时间：2022年7月14日

1.ECCV2022 接受论文/代码分方向整理(持续更新)

2.ECCV2022 oral

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)
• 关键点检测(Keypoint Detection)
• 车道线检测(Lane Detection)
• 边缘检测(Edge Detection)
• 消失点检测(Vanishing Point Detection)
• 异常检测(Anomaly 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/图像重建(Image Restoration/Image Reconstruction)
• 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/图像修复(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. 视频处理(Video Processing)

• 视频编辑(Video Editing)
• 视频生成/视频合成(Video Generation/Video Synthesis)
• 视频超分(Video Super-Resolution)

5. 估计(Estimation)

• 光流/运动估计(Flow/Motion Estimation)
• 深度估计(Depth Estimation)
• 人体解析/人体姿态估计(Human Parsing/Human Pose Estimation)
• 手势估计(Gesture Estimation)

6. 图像&视频检索/视频理解(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)

7. 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)

8. 三维视觉(3D Vision)

• 点云(Point Cloud)
• 三维重建(3D Reconstruction)
• 场景重建/视图合成/新视角合成(Novel View Synthesis)

9. 目标跟踪(Object Tracking)

10. 医学影像(Medical Imaging)

11. 文本检测/识别/理解(Text Detection/Recognition/Understanding)

12. 遥感图像(Remote Sensing Image)

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

14. 图像生成/图像合成(Image Generation/Image Synthesis)

15. 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)

16. 视觉定位/位姿估计(Visual Localization/Pose Estimation)

17. 视觉推理/视觉问答(Visual Reasoning/VQA)

18. 视觉预测(Vision-based Prediction)

19. 神经网络结构设计(Neural Network Structure Design)

• CNN
• Transformer
• 图神经网络(GNN)
• 神经网络架构搜索(NAS)
• MLP

20. 神经网络可解释性(Neural Network Interpretability)

21. 数据集(Dataset)

22. 数据处理(Data Processing)

• 数据增广(Data Augmentation)
• 归一化/正则化(Batch Normalization)
• 图像聚类(Image Clustering)
• 图像压缩(Image Compression)

23. 图像特征提取与匹配(Image feature extraction and matching)

24. 视觉表征学习(Visual Representation Learning)

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

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

26. 模型压缩(Model Compression)

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

27. 模型评估(Model Evaluation)

28. 图像分类(Image Classification)

29. 图像计数(Image Counting)

30. 机器人(Robotic)

31. 半监督学习/弱监督学习/无监督学习/自监督学习(Self-supervised Learning/Semi-supervised Learning)

32. 多模态学习(Multi-Modal Learning)

• 视听学习(Audio-visual Learning)
• 视觉-语言（Vision-language）

33. 主动学习(Active Learning)

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

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

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

37. 度量学习(Metric Learning)

38. 对比学习(Contrastive Learning)

39. 增量学习(Incremental Learning)

40. 强化学习(Reinforcement Learning)

41. 元学习(Meta Learning)

42. 联邦学习(Federated Learning

检测

2D目标检测(2D Object Detection)

[1] Adversarially-Aware Robust Object Detector
paper | code

3D目标检测(3D Object Detection)

视频目标检测(Video Object Detection)

人物交互检测(HOI Detection)

[1] Towards Hard-Positive Query Mining for DETR-based Human-Object Interaction Detection
paper | code

显著性目标检测(Saliency Object Detection)

伪装目标检测(Camouflaged Object Detection)

图像异常检测/表面缺陷检测(Anomally Detection in Image)

边缘检测(Edge Detection)

分割(Segmentation)

图像分割(Image Segmentation)

实例分割(Instance Segmentation)

[1] OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers
paper | code

语义分割(Semantic Segmentation)

[1] 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
paper | code

视频目标分割(Video Object Segmentation)

参考图像分割(Referring Image Segmentation)

密集预测(Dense Prediction)

图像处理(Image Processing)ImageProcessing)

超分辨率(Super Resolution)

[1] Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks
paper | code

图像复原/图像增强/图像重建(Image Restoration/Image Reconstruction)

[5] Geometry-aware Single-image Full-body Human Relighting
paper

[4] Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion
paper

[3] PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation
paper

[2] SESS: Saliency Enhancing with Scaling and Sliding
paper

[1] RigNet: Repetitive Image Guided Network for Depth Completion
paper

图像外推(Image Outpainting)

[1] Outpainting by Queries
paper | code

风格迁移(Style Transfer)

[1] CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer
paper | code

视频处理(Video Processing)

[1] Real-Time Intermediate Flow Estimation for Video Frame Interpolation
paper | code

估计(Estimation)(#Estimation)

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

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

[1] Hunting Group Clues with Transformers for Social Group Activity Recognition
paper

行人重识别/检测(Re-Identification/Detection)

图像/视频字幕(Image/Video Caption)

视频理解(Video Understanding)

[1] GraphVid: It Only Takes a Few Nodes to Understand a Video
paper

[2] Deep Hash Distillation for Image Retrieval
paper | code

7. 人脸(Face)

8. 三维视觉(3D Vision)

9. 目标跟踪(Object Tracking)

10. 医学影像(Medical Imaging)

11. 文本检测/识别/理解(Text Detection/Recognition/Understanding)

12. 遥感图像(Remote Sensing Image)

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

[1] UniCR: Universally Approximated Certified Robustness via Randomized Smoothing
paper

14. 图像生成/图像合成(Image Generation/Image Synthesis)

15. 场景图(Scene Graph

16. 视觉定位/位姿估计(Visual Localization/Pose Estimation)

[1] Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks
paper | code

17. 视觉推理/视觉问答(Visual Reasoning/VQA)

18. 视觉预测(Vision-based Prediction)

19. 神经网络结构设计(Neural Network Structure Design)

CNN

Transformer

图神经网络(GNN)

神经网络架构搜索(NAS)

[2] Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning
paper | code

[1] EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
paper | code

MLP

20. 神经网络可解释性(Neural Network Interpretability)

21. 数据集(Dataset)

22. 数据处理(Data Processing)

数据增广(Data Augmentation)

归一化/正则化(Batch Normalization)

[1] Fine-grained Data Distribution Alignment for Post-Training Quantization
paper | code

图像聚类(Image Clustering)

图像压缩(Image Compression)

23. 图像特征提取与匹配(Image feature extraction and matching)

24. 视觉表征学习(Visual Representation Learning)

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

噪声标签(Noisy Label)

[1] Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
paper

长尾分布(Long-Tailed Distribution)

26. 模型压缩(Model Compression)

知识蒸馏(Knowledge Distillation)

[1] Knowledge Condensation Distillation
paper | code

剪枝(Pruning)

量化(Quantization)

27. 模型评估(Model Evaluation)

[2] Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches
paper

[1] Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting
paper | code

28. 图像分类(Image Classification)

29. 图像计数(Image Counting)

30. 机器人(Robotic)

31. 半监督学习/弱监督学习/无监督学习/自监督学习(Self-supervised Learning/Semi-supervised Learning)

[5] Point-to-Box Network for Accurate Object Detection via Single Point Supervision
paper | code

[4] Synergistic Self-supervised and Quantization Learning
paper | code

[3] Contrastive Deep Supervision
paper | code

[2] Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection
paper

[1] Image Coding for Machines with Omnipotent Feature Learning
paper

32. 多模态学习/跨模态(Multi-Modal Learning/Cross-Modal Learning)

视听学习(Audio-visual Learning)

视觉-语言（Vision-language）

跨模态（cross-modal)

[1] Cross-modal Prototype Driven Network for Radiology Report Generation
paper | code

33. 主动学习(Active Learning)

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

[1] Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning
paper

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

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

[2] Factorizing Knowledge in Neural Networks
paper | code

[1] CycDA: Unsupervised Cycle Domain Adaptation from Image to Video
paper

37. 度量学习(Metric Learning)

38. 对比学习(Contrastive Learning)

39. 增量学习(Incremental Learning)

40. 强化学习(Reinforcement Learning)

[1] Target-absent Human Attention
paper | code

41. 元学习(Meta Learning)

42.联邦学习(Federated Learning)