CVPR 2022 论文列表

时间：2023-06-01 09:37:00 flex弯曲传感器

CVPR2022 Papers (Papers/Codes/Demos)

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

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

paper | code

Confidence Propagation Cluster: Unleash Full Potential of Object Detectors(信心传播集群:释放物体探测器的所有潜力)

paper

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

paper

A Dual Weighting Label Assignment Scheme for Object Detection(目标检测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 用于半监督目标检测的特征块)

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(通过语义对齐加速 DETR 收敛)

paper | code

Focal and Global Knowledge Distillation for Detectors(蒸馏探测器的焦点和全球知识)

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)

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)

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CVPR 2022 论文列表

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