CVPR 2022 论文列表

佚名 2024-04-21 05:15:01 举报

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CVPR2022 Papers (Papers/Codes/Demos)

https://github.com/gbstack/cvpr-2022-papers

分类目录：

1. 检测

2. 分割(Segmentation)

3. 图像处理(Image Processing)

4. 估计(Estimation)

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

6. 人脸(Face)

7. 三维视觉(3D Vision)

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)

14. 场景图(Scene Graph

15. 视觉定位(Visual Localization)

16. 视觉推理/视觉问答(Visual Reasoning/VQA)

17. 图像分类(Image Classification)

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

19. 模型压缩(Model Compression)

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

21. 模型评估(Model Evaluation)

22. 数据处理(Data Processing)

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)

33. 视觉预测(Vision-based Prediction)

34. 数据集(Dataset)

35. 机器人(Robotic)

36. 自监督学习/半监督学习

检测

2D目标检测(2D Object Detection)

Oriented RepPoints for Aerial Object Detection(面向空中目标检测的 RepPoints)(小目标检测)

paper | code

Confidence Propagation Cluster: Unleash Full Potential of Object Detectors(信心传播集群：释放物体检测器的全部潜力)

paper

Semantic-aligned Fusion Transformer for One-shot Object Detection(用于一次性目标检测的语义对齐融合转换器)

paper

A Dual Weighting Label Assignment Scheme for Object Detection(一种用于目标检测的双重加权标签分配方案)

paper | code

MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection(混合图像块和 UnMix 特征块用于半监督目标检测)

paper | code

SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection(域自适应对象检测的语义完全图匹配)

paper | code

Accelerating DETR Convergence via Semantic-Aligned Matching(通过语义对齐匹配加速 DETR 收敛)

paper | code

Focal and Global Knowledge Distillation for Detectors(探测器的焦点和全局知识蒸馏)

keywords: Object Detection, Knowledge Distillation

paper | code

Unknown-Aware Object Detection: Learning What You Don’t Know from Videos in the Wild(未知感知对象检测：从野外视频中学习你不知道的东西)

paper | code

Localization Distillation for Dense Object Detection(密集对象检测的定位蒸馏)

keywords: Bounding Box Regression, Localization Quality Estimation, Knowledge Distillation

paper | code

视频目标检测(Video Object Detection)

Unsupervised Activity Segmentation by Joint Representation Learning and Online Clustering(通过联合表示学习和在线聚类进行无监督活动分割)

paper

3D目标检测(3D object detection)

TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers(用于 3D 对象检测的稳健 LiDAR-Camera Fusion 与 Transformer)

paper | code

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds(学习用于 3D LiDAR 点云的高效基于点的检测器)

paper | code

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion(迈向具有深度完成的高质量 3D 检测)

paper

MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer(使用深度感知 Transformer 的单目 3D 对象检测)

paper | code

Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds(从点云进行 3D 对象检测的 Set-to-Set 方法)

paper | code

VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention

paper | code

MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection(单目 3D 目标检测的联合语义和几何成本量)

paper | code

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection(用于多模态 3D 目标检测的激光雷达相机深度融合)

paper | code

Point Density-Aware Voxels for LiDAR 3D Object Detection(用于 LiDAR 3D 对象检测的点密度感知体素)

paper | code

Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement(带有形状引导标签增强的弱监督 3D 对象检测)

paper | code

Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes(在 3D 场景中实现稳健的定向边界框检测)

paper | code

A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation(在全景分割的指导下，用于基于 LiDAR 的 3D 对象检测的多功能多视图框架)

keywords: 3D Object Detection with Point-based Methods, 3D Object Detection with Grid-based Methods, Cluster-free 3D Panoptic Segmentation, CenterPoint 3D Object Detection

paper

Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving(自动驾驶中用于单目 3D 目标检测的伪立体)

keywords: Autonomous Driving, Monocular 3D Object Detection

paper | code

伪装目标检测(Camouflaged Object Detection)

Implicit Motion Handling for Video Camouflaged Object Detection(视频伪装对象检测的隐式运动处理)

paper

Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection(放大和缩小：用于伪装目标检测的混合尺度三元组网络)

paper | code

显著性目标检测(Saliency Object Detection)

Bi-directional Object-context Prioritization Learning for Saliency Ranking(显着性排名的双向对象上下文优先级学习)

paper | code

Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection()

paper

关键点检测(Keypoint Detection)

UKPGAN: A General Self-Supervised Keypoint Detector(一个通用的自监督关键点检测器)

paper | code

车道线检测(Lane Detection)

CLRNet: Cross Layer Refinement Network for Lane Detection(用于车道检测的跨层细化网络)

paper

Rethinking Efficient Lane Detection via Curve Modeling(通过曲线建模重新思考高效车道检测)

keywords: Segmentation-based Lane Detection, Point Detection-based Lane Detection, Curve-based Lane Detection, autonomous driving

paper | code

边缘检测(Edge Detection)

EDTER: Edge Detection with Transformer(使用transformer的边缘检测)

paper | code

消失点检测(Vanishing Point Detection)

Deep vanishing point detection: Geometric priors make dataset variations vanish(深度消失点检测**：几何先验使数据集变化消失)**

paper | code

分割(Segmentation)

图像分割(Image Segmentation)

Learning What Not to Segment: A New Perspective on Few-Shot Segmentation(学习不分割的内容：关于小样本分割的新视角)

paper | code

CRIS: CLIP-Driven Referring Image Segmentation(CLIP 驱动的参考图像分割)

paper

Hyperbolic Image Segmentation(双曲线图像分割)

paper

全景分割(Panoptic Segmentation)

Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers(使用 Transformers 深入研究全景分割)

paper | code

Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation(弯曲现实：适应全景语义分割的失真感知Transformer)

keywords: Semanticand panoramic segmentation, Unsupervised domain adaptation, Transformer

paper | code

语义分割(Semantic Segmentation)

Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation(用于域自适应语义分割的类平衡像素级自标记)

paper | code

Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation(弱监督语义分割的区域语义对比和聚合)

paper | code

Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation(走向稀疏注释的语义分割)

paper | code

Scribble-Supervised LiDAR Semantic Segmentation

paper | code

ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation(多目标域自适应语义分割的直接适应策略)

paper

Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast(通过像素到原型对比的弱监督语义分割)

paper

Representation Compensation Networks for Continual Semantic Segmentation(连续语义分割的表示补偿网络)

paper | code

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels(使用不可靠伪标签的半监督语义分割)

paper | code

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data(使用分布外数据的弱监督语义分割)

paper | code

Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation(弱监督语义分割的自监督图像特定原型探索)

paper | code

Multi-class Token Transformer for Weakly Supervised Semantic Segmentation(用于弱监督语义分割的多类token Transformer)

paper | code

Cross Language Image Matching for Weakly Supervised Semantic Segmentation(用于弱监督语义分割的跨语言图像匹配)

paper

Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers(从注意力中学习亲和力：使用 Transformers 的端到端弱监督语义分割)

paper | code

ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation(让自我训练更好地用于半监督语义分割)

keywords: Semi-supervised learning, Semantic segmentation, Uncertainty estimation

paper | code

Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation(弱监督语义分割的类重新激活图)

paper | code

实例分割(Instance Segmentation)

ContrastMask: Contrastive Learning to Segment Every Thing(对比学习分割每件事)

paper

Discovering Objects that Can Move(发现可以移动的物体)

paper | code

E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation(一种基于端到端轮廓的高质量高速实例分割方法)

paper | code

Efficient Video Instance Segmentation via Tracklet Query and Proposal(通过 Tracklet Query 和 Proposal 进行高效的视频实例分割)

paper

SoftGroup for 3D Instance Segmentation on Point Clouds(用于点云上的 3D 实例分割)

keywords: 3D Vision, Point Clouds, Instance Segmentation

paper | code

视频目标分割(Video Object Segmentation)

Language as Queries for Referring Video Object Segmentation(语言作为引用视频对象分割的查询)

paper | code

密集预测(Dense Prediction)

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting(具有上下文感知提示的语言引导密集预测)

paper | code

视频处理(Video Processing)

Neural Compression-Based Feature Learning for Video Restoration(用于视频复原的基于神经压缩的特征学习)

paper

视频编辑(Video Editing)

M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers(M3L：通过多模式多级transformer进行基于语言的视频编辑)

paper

视频生成/视频合成(Video Generation/Video Synthesis)

Depth-Aware Generative Adversarial Network for Talking Head Video Generation(用于说话头视频生成的深度感知生成对抗网络)

paper | code

Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning(告诉我什么并告诉我如何：通过多模式调节进行视频合成)

paper | code

估计(Estimation)

光流/运动估计(Optical Flow/Motion Estimation)

Global Matching with Overlapping Attention for Optical Flow Estimation(具有重叠注意力的全局匹配光流估计)

paper | code

CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation(用于联合光流和场景流估计的双向相机-LiDAR 融合)

paper

深度估计(Depth Estimation)

Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation(基于自适应相关的级联循环网络的实用立体匹配)

paper

Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light(结合双目立体和单目结构光的深度估计)

paper | code

RGB-Depth Fusion GAN for Indoor Depth Completion(用于室内深度完成的 RGB 深度融合 GAN)

paper

Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective(从特征一致性的角度重新审视域广义立体匹配网络)

paper

Deep Depth from Focus with Differential Focus Volume(具有不同焦点体积的焦点深度)

paper

ChiTransformer:Towards Reliable Stereo from Cues(从线索走向可靠的立体声)

paper

Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation and Focal Loss(重新思考多视图立体的深度估计：统一表示和焦点损失)

paper | code

ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks(立体匹配网络中自动避免捷径和域泛化的信息论方法)

keywords: Learning-based Stereo Matching Networks, Single Domain Generalization, Shortcut Learning

paper

Attention Concatenation Volume for Accurate and Efficient Stereo Matching(用于精确和高效立体匹配的注意力连接体积)

keywords: Stereo Matching, cost volume construction, cost aggregation

paper | code

Occlusion-Aware Cost Constructor for Light Field Depth Estimation(光场深度估计的遮挡感知成本构造函数)

paper | [code](https://github.com/YingqianWang/OACC- Net)

NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation(用于单目深度估计的神经窗口全连接 CRF)

keywords: Neural CRFs for Monocular Depth

paper

OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion(通过几何感知融合进行 360 度单目深度估计)

keywords: monocular depth estimation(单目深度估计),transformer

paper

人体解析/人体姿态估计(Human Parsing/Human Pose Estimation)

Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization(用于单目绝对 3D 定位的基于射线的 3D 人体姿态估计)

paper | code

Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video(捕捉运动中的人类：来自单目视频的时间注意 3D 人体姿势和形状估计)

paper

Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors(来自稀疏惯性传感器的物理感知实时人体运动跟踪)

paper

Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation(用于多人 3D 姿势估计的分布感知单阶段模型)

paper

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation(用于 3D 人体姿势估计的多假设transformer)

paper | code

CDGNet: Class Distribution Guided Network for Human Parsing(用于人类解析的类分布引导网络)

paper

Forecasting Characteristic 3D Poses of Human Actions(预测人类行为的特征 3D 姿势)

paper

Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation(学习用于多人姿势估计的局部-全局上下文适应)

keywords: Top-Down Pose Estimation(从上至下姿态估计), Limb-based Grouping, Direct Regression

paper

MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video(用于视频中 3D 人体姿势估计的 Seq2seq 混合时空编码器)

paper

图像处理(Image Processing)

超分辨率(Super Resolution)

Local Texture Estimator for Implicit Representation Function(隐式表示函数的局部纹理估计器)

paper

A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution(一种用于空间变形鲁棒场景文本图像超分辨率的文本注意网络)

paper | code

Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution(一种真实图像超分辨率的局部判别学习方法)

paper | code

Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel(对噪声和核进行精细退化建模的盲图像超分辨率)

paper | code

Reflash Dropout in Image Super-Resolution(图像超分辨率中的闪退dropout)

paper

Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence(迈向双向任意图像缩放：联合优化和循环幂等)

paper

HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening(用于全色锐化的纹理和光谱特征融合Transformer)

paper | code

HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging(光谱压缩成像的高分辨率双域学习)

keywords: HSI Reconstruction, Self-Attention Mechanism, Image Frequency Spectrum Analysis

paper

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

Exploring and Evaluating Image Restoration Potential in Dynamic Scenes(探索和评估动态场景中的图像复原潜力)

paper

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction(通过随机收缩加速逆问题的条件扩散模型)

paper

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction(用于高效高光谱图像重建的掩模引导光谱变换器)

paper | code

Restormer: Efficient Transformer for High-Resolution Image Restoration(用于高分辨率图像复原的高效transformer)

paper | code

Event-based Video Reconstruction via Potential-assisted Spiking Neural Network(通过电位辅助尖峰神经网络进行基于事件的视频重建)

paper

图像去噪/去模糊/去雨去雾(Image Denoising)

AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network(通过非对称 PD 和盲点网络对真实世界图像进行自监督去噪)

paper | code

IDR: Self-Supervised Image Denoising via Iterative Data Refinement(通过迭代数据细化的自监督图像去噪)

paper | code

Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots(具有可见盲点的自监督图像去噪)

paper | code

E-CIR: Event-Enhanced Continuous Intensity Recovery(事件增强的连续强度恢复)

keywords: Event-Enhanced Deblurring, Video Representation

paper | code

图像编辑/图像修复(Image Edit/Inpainting)

High-Fidelity GAN Inversion for Image Attribute Editing(用于图像属性编辑的高保真 GAN 反演)

paper | code

Style Transformer for Image Inversion and Editing(用于图像反转和编辑的样式transformer)

paper | code

MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting(用于高保真图像修复的多级交互式 Siamese 过滤)

paper | code

HairCLIP: Design Your Hair by Text and Reference Image(通过文本和参考图像设计你的头发)

keywords: Language-Image Pre-Training (CLIP), Generative Adversarial Networks

paper

Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding(增量transformer结构增强图像修复与掩蔽位置编码)

keywords: Image Inpainting, Transformer, Image Generation

paper | code

图像翻译(Image Translation)

Globetrotter: Connecting Languages by Connecting Images(通过连接图像连接语言)

paper

QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation(图像翻译中对比学习的查询选择注意)

paper | code

FlexIT: Towards Flexible Semantic Image Translation(迈向灵活的语义图像翻译)

paper

Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks(探索图像到图像翻译任务中对比学习的补丁语义关系)

keywords: image translation, knowledge transfer,Contrastive learning

paper

风格迁移(Style Transfer)

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization(任意风格迁移和域泛化的精确特征分布匹配)

paper | code

Style-ERD: Responsive and Coherent Online Motion Style Transfer(响应式和连贯的在线运动风格迁移)

paper

CLIPstyler: Image Style Transfer with a Single Text Condition(具有单一文本条件的图像风格转移)

keywords: Style Transfer, Text-guided synthesis, Language-Image Pre-Training (CLIP)

paper

人脸(Face)

Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?(跨模态感知者：可以从声音中收集面部几何形状吗？)

paper

Portrait Eyeglasses and Shadow Removal by Leveraging 3D Synthetic Data(利用 3D 合成数据去除人像眼镜和阴影)

paper | code

HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network(分层解析胶囊网络的无监督人脸部分发现)

paper

FaceFormer: Speech-Driven 3D Facial Animation with Transformers(FaceFormer：带有transformer的语音驱动的 3D 面部动画)

paper | code

Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning(用于鲁棒人脸对齐和地标固有关系学习的稀疏局部补丁transformer)

paper | code

人脸识别/检测(Facial Recognition/Detection)

Privacy-preserving Online AutoML for Domain-Specific Face Detection(用于特定领域人脸检测的隐私保护在线 AutoML)

paper

An Efficient Training Approach for Very Large Scale Face Recognition(一种有效的超大规模人脸识别训练方法)

paper | code

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

FENeRF: Face Editing in Neural Radiance Fields(神经辐射场中的人脸编辑)

paper

GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors(一种没有面部和 GAN 先验的生成可控人脸超分辨率方法)

paper

Sparse to Dense Dynamic 3D Facial Expression Generation(稀疏到密集的动态 3D 面部表情生成)

keywords: Facial expression generation, 4D face generation, 3D face modeling

paper

人脸伪造/反欺骗(Face Forgery/Face Anti-Spoofing)

Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing(通过 Shuffled Style Assembly 进行域泛化以进行人脸反欺骗)

paper | code

Voice-Face Homogeneity Tells Deepfake

paper | code

Protecting Celebrities with Identity Consistency Transformer(使用身份一致性transformer保护名人)

paper

目标跟踪(Object Tracking)

Transforming Model Prediction for Tracking(转换模型预测以进行跟踪)

paper | code

MixFormer: End-to-End Tracking with Iterative Mixed Attention(具有迭代混合注意力的端到端跟踪)

paper | code

Unsupervised Domain Adaptation for Nighttime Aerial Tracking(夜间空中跟踪的无监督域自适应)

paper | code

Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects(迭代对应几何：融合区域和深度以实现无纹理对象的高效 3D 跟踪)

paper | [code](https://github.com/DLR- RM/3DObjectTracking)

TCTrack: Temporal Contexts for Aerial Tracking(空中跟踪的时间上下文)

paper | code

Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds(超越 3D 连体跟踪：点云中 3D 单对象跟踪的以运动为中心的范式)

keywords: Single Object Tracking, 3D Multi-object Tracking / Detection, Spatial-temporal Learning on Point Clouds

paper

Correlation-Aware Deep Tracking(相关感知深度跟踪)

paper

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

Bridging Video-text Retrieval with Multiple Choice Questions(桥接视频文本检索与多项选择题)

paper | code

BEVT: BERT Pretraining of Video Transformers(视频Transformer的 BERT 预训练)

keywords: Video understanding, Vision transformers, Self-supervised representation learning, BERT pretraining

paper | code

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

E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition(用于以自我为中心的动作识别的运动增强事件流)

paper

Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos(寻找变化：从未修剪的网络视频中学习对象状态和状态修改操作)

paper | code

DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition(鲁棒动作识别的 Transformer 方法中的定向注意)

paper

Self-supervised Video Transformer(自监督视频transformer)

paper | code

Spatio-temporal Relation Modeling for Few-shot Action Recognition(小样本动作识别的时空关系建模)

paper | code

RCL: Recurrent Continuous Localization for Temporal Action Detection(用于时间动作检测的循环连续定位)

paper

OpenTAL: Towards Open Set Temporal Action Localization(走向开放集时间动作定位)

paper | code

End-to-End Semi-Supervised Learning for Video Action Detection(视频动作检测的端到端半监督学习)

paper

Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos(模态特定注释视频上多模态动作识别的可学习不相关模态丢失)

paper

Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation(通过代表性片段知识传播的弱监督时间动作定位)

paper | code

Colar: Effective and Efficient Online Action Detection by Consulting Exemplars(通过咨询示例进行有效且高效的在线动作检测)

keywords: Online action detection(在线动作检测)

paper

行人重识别/检测(Re-Identification/Detection)

Cascade Transformers for End-to-End Person Search(用于端到端人员搜索的级联transformer)

paper | code

图像/视频字幕(Image/Video Caption)

Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources(通过在线资源对上下文外图像进行开放域、基于内容、多模式的事实检查)

paper | code

Hierarchical Modular Network for Video Captioning(用于视频字幕的分层模块化网络)

paper | code

X -Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning(使用 Transformer 进行 3D 密集字幕的跨模式知识迁移)

paper

医学影像(Medical Imaging)

ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification(半监督医学图像分类的反课程伪标签)

paper

Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks(使用几何深度神经网络从 3D MRI 扫描中快速显式重建皮质表面)

paper | code

Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization(通过风格增强和双重归一化的可泛化跨模态医学图像分割)

paper | code

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations(从噪声标签中分割的自适应早期学习校正)

keywords: medical-imaging segmentation, Noisy Annotations

paper | code

Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations(时间上下文很重要：使用疾病进展表示增强单图像预测)

keywords: Self-supervised Transformer, Temporal modeling of disease progression

paper

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

SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition(通过文本检测和文本识别之间更好的协同作用进行场景文本定位)

paper | code

Fourier Document Restoration for Robust Document Dewarping and Recognition(用于鲁棒文档去扭曲和识别的傅里叶文档恢复)

paper | code

XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding(迈向布局感知多模式网络，以实现视觉丰富的文档理解)

paper

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

Subspace Adversarial Training(子空间对抗训练)

paper | code

DTA: Physical Camouflage Attacks using Differentiable Transformation Network(使用可微变换网络的物理伪装攻击)

paper | code

Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input(通过基于对象的多样化输入提高目标对抗样本的可迁移性)

paper | code

Towards Practical Certifiable Patch Defense with Vision Transformer(使用 Vision Transformer 实现实用的可认证补丁防御)

paper

Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment(基于松弛空间结构对齐的小样本生成模型自适应)

paper

Enhancing Adversarial Training with Second-Order Statistics of Weights(使用权重的二阶统计加强对抗训练)

paper | code

Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack(通过自适应自动攻击对对抗鲁棒性的实际评估)

paper

Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity(对语义相似性的频率驱动的不可察觉的对抗性攻击)

paper

Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon(阴影可能很危险：自然现象的隐秘而有效的物理世界对抗性攻击)

paper

Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer(保护面部隐私：通过风格稳健的化妆转移生成对抗性身份面具)

paper

Adversarial Texture for Fooling Person Detectors in the Physical World(物理世界中愚弄人探测器的对抗性纹理)

paper

Label-Only Model Inversion Attacks via Boundary Repulsion(通过边界排斥的仅标签模型反转攻击)

paper

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

Modulated Contrast for Versatile Image Synthesis(用于多功能图像合成的调制对比度)

paper | code

Attribute Group Editing for Reliable Few-shot Image Generation(属性组编辑用于可靠的小样本图像生成)

paper | code

Text to Image Generation with Semantic-Spatial Aware GAN(使用语义空间感知 GAN 生成文本到图像)

paper | code

Playable Environments: Video Manipulation in Space and Time(可播放环境：空间和时间的视频操作)

paper | code

FLAG: Flow-based 3D Avatar Generation from Sparse Observations(从稀疏观察中生成基于流的 3D 头像)

paper

Dynamic Dual-Output Diffusion Models(动态双输出扩散模型)

paper

Exploring Dual-task Correlation for Pose Guided Person Image Generation(探索姿势引导人物图像生成的双任务相关性)

paper | code

3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces(基于小批量特征交换的三维形状变化自动编码器潜在解纠缠)

paper | code

Interactive Image Synthesis with Panoptic Layout Generation(具有全景布局生成的交互式图像合成)

paper

Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values(极性采样：通过奇异值对预训练生成网络的质量和多样性控制)

paper

Autoregressive Image Generation using Residual Quantization(使用残差量化的自回归图像生成)

paper | code

三维视觉(3D Vision)

Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings(在 3D 网格中嵌入消息并从 2D 渲染中提取它们)

paper

X -Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning(使用 Transformer 进行 3D 密集字幕的跨模式知识迁移)

paper

点云(Point Cloud)

IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment(通过深度嵌入对齐的动态 3D 点云插值)

paper | code

No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces(没有痛苦，收获很大：通过拟合特征级时空表面，用静态模型对动态点云序列进行分类)

paper | code

AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation(通用 3D 零件分割的中间监督搜索)

paper

Geometric Transformer for Fast and Robust Point Cloud Registration(用于快速和稳健点云配准的几何transformer)

paper | code

Contrastive Boundary Learning for Point Cloud Segmentation(点云分割的对比边界学习)

paper | code

Shape-invariant 3D Adversarial Point Clouds(形状不变的 3D 对抗点云)

paper | code

ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation(通过对抗旋转提高点云分类器的旋转鲁棒性)

paper

Lepard: Learning partial point cloud matching in rigid and deformable scenes(Lepard：在刚性和可变形场景中学习部分点云匹配)

paper | code<

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