CVPR 2022 论文列表
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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)
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)
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)
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)
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Unsupervised Domain Adaptation for Nighttime Aerial Tracking(夜间空中跟踪的无监督域自适应)
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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
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Correlation-Aware Deep Tracking(相关感知深度跟踪)
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图像&视频检索/视频理解(Image&Video Retrieval/Video Understanding)
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)
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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
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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)
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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)
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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)
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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)
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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)
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Hierarchical Modular Network for Video Captioning(用于视频字幕的分层模块化网络)
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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)
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)
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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
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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)
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)
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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)
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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)
GAN/生成式/对抗式(GAN/Generative/Adversarial)
Subspace Adversarial Training(子空间对抗训练)
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DTA: Physical Camouflage Attacks using Differentiable Transformation Network(使用可微变换网络的物理伪装攻击)
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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)
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Towards Practical Certifiable Patch Defense with Vision Transformer(使用 Vision Transformer 实现实用的可认证补丁防御)
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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)
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Enhancing Adversarial Training with Second-Order Statistics of Weights(使用权重的二阶统计加强对抗训练)
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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)
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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)
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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)
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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)
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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)
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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)
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)
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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)
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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)
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Playable Environments: Video Manipulation in Space and Time(可播放环境:空间和时间的视频操作)
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FLAG: Flow-based 3D Avatar Generation from Sparse Observations(从稀疏观察中生成基于流的 3D 头像)
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Dynamic Dual-Output Diffusion Models(动态双输出扩散模型)
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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)
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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)
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Interactive Image Synthesis with Panoptic Layout Generation(具有全景布局生成的交互式图像合成)
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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)
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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)
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)
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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)
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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) 以上是关于CVPR 2022 论文列表的主要内容,如果未能解决你的问题,请参考以下文章 CVPR2022 | CVPR2022最全整理,CVPR2022下载链接,CVPR2022全部论文代码 CVPR2022 | CVPR2022最全整理,CVPR2022下载链接,CVPR2022全部论文代码 CVPR2022 | CVPR2022最全整理,CVPR2022下载链接,CVPR2022全部论文代码
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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)
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AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation(通用 3D 零件分割的中间监督搜索)
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Geometric Transformer for Fast and Robust Point Cloud Registration(用于快速和稳健点云配准的几何transformer)
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Contrastive Boundary Learning for Point Cloud Segmentation(点云分割的对比边界学习)
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Shape-invariant 3D Adversarial Point Clouds(形状不变的 3D 对抗点云)
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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)
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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<