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

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)

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)

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

lyan-ing / eccv2022-paper-code-interpretation Goto Github PK