官网链接:https://cvpr2022.thecvf.com/
开会时间:2022年6月19日-6月24日
❣❣❣近日,CVPR 2022 接收论文公布! 总计2067篇!,部分预印版论文也陆续发布中,本文档也将持续收录更新,多多关注!!
- 遥感图像融合
- 车道线检测
- 半监督
- Deepfake
- 其它
- ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching
⭐code📰粗解 - Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values
⭐code - Do Explanations Explain? Model Knows Best
⭐code - HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging
- E-CIR: Event-Enhanced Continuous Intensity Recovery
⭐code
- ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching
- 目标检测
- 图像合成
- 医学影像
🐦️
- NAS
- GNN
- 其它
- 深度估计
- 人群计数
- 行为预测
❗❗❗ 3月4日更新 19 篇.
- HOI
- 跟踪
- 目标定位
- 自监督
- 视频
- 三维
- 其它
- PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence
⭐code🏠project📺video📰粗解 - CAFE: Learning to Condense Dataset by Aligning Features
⭐code📰粗解 - Enhancing Adversarial Robustness for Deep Metric Learning
- BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning
⭐code📰粗解
- PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence
- 光场
- 图像到图像翻译
- 分割
- 深度估计
- 数据增强
- 对抗
- 🐦️AlignMix: Improving representation by interpolating aligned features
- 3D Common Corruptions and Data Augmentation
⭐code🏠project📺video📰粗解
- GNN
- Interactive Image Synthesis with Panoptic Layout Generation
- Autoregressive Image Generation using Residual Quantization
⭐code📰粗解
- 遥感图像融合
- 车道线检测
- 行为预测
- Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
- 自监督
- 半监督
- 动作分割
- 视频实例分割(VIS)
- 人脸
- Deepfake
- 深度估计
- 房间布局
- 3D pose
- 4D 人体捕获
- 3D 点云
- CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
⭐code📰粗解
CrossPoint,一个用于 3D 点云表征学习的简单自监督学习框架。虽然该方法是在合成的三维物体数据集上训练的,但在下游任务中的实验结果,如三维物体分类和三维物体部分分割,在合成和真实世界的数据集中都证明了该方法在学习可迁移表征方面的有效性。 - A Unified Query-based Paradigm for Point Cloud Understanding
- CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
- 图像修复
- 实例分割
- 语义分割
- Instance-wise Occlusion and Depth Orders in Natural Scenes
- IFOR: Iterative Flow Minimization for Robotic Object Rearrangement
🏠project - PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence
⭐code🏠project📺video📰粗解 - CAFE: Learning to Condense Dataset by Aligning Features
⭐code📰粗解 - Enhancing Adversarial Robustness for Deep Metric Learning
- BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning
⭐code📰粗解 - ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching
⭐code📰粗解 - Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values
⭐code - Do Explanations Explain? Model Knows Best
⭐code - HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging
- E-CIR: Event-Enhanced Continuous Intensity Recovery
⭐code - 🐦️Transferability Estimation using Bhattacharyya Class Separability
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval
Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale
Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation
来源
[Two Systems in Thinking: Dual-System Transformer for Grounded Situation Recognition]
[Autoregressive Image Generation using Residual Quantization]
✔️Instance-wise Occlusion and Depth Orders in Natural Scenes
[Style Neophile: Constantly Seeking Novel Styles for Domain Generalization]
[ReSTR: Convolution-free Referring Image Segmentation Using Transformers]
[FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation]
[TransforMatcher: Match-to-Match Attention for Semantic Correspondence]
[Reflection and Rotation Symmetry Detection via Equivariant Learning]
[Semi-supervised Semantic Segmentation with Error Localization Network]
[Future Transformer for Long-term Action Anticipation]
[Self-Taught Metric Learning without Labels]
✔️Fast Point Transformer
[Integrative Few-Shot Learning for Classification and Segmentation]
[Scene Painting via Semantic Image Synthesis]
[Detector-Free Weakly Supervised Group Activity Recognition]