CVPR 2021 Visual Transformer 论文合集（附20篇推荐必读ViT论文）

最近，Visual Transformer 的研究热点达到了前所未有的高峰，仅 CVPR 2021 就发表了 40 多篇，应用涉及：图像分类、目标检测、实例分割、语义分割、行为识别、自动驾驶、关键点匹配、目标跟踪、NAS、low-level视觉、HoI、可解释性、布局生成、检索、文本检测等方向。

引爆CV圈 Transformer热潮的有两篇最具代表性论文，即 ECCV 2020的 DETR（目标检测）和 ICLR 2021的 ViT（图像分类）。

目录

CVPR 2021 Visual Transformer 论文合集

必读的 20 篇必读 ViT 论文

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CVPR 2021 Visual Transformer 论文合集

 

 

1. End-to-End Human Pose and Mesh Reconstruction with Transformers

• Paper: https://arxiv.org/pdf/2012.09760.pdf

• Code: https://github.com/microsoft/MeshTransformer

2. Temporal-Relational CrossTransformers for Few-Shot Action Recognition

• Paper: https://arxiv.org/pdf/2101.06184.pdf

• Code: https://github.com/tobyperrett/trx

3. Kaleido-BERT：Vision-Language Pre-training on Fashion Domain

• Paper: https://arxiv.org/pdf/2103.16110.pdf

• Code: https://github.com/mczhuge/Kaleido-BERT

4. HOTR: End-to-End Human-Object Interaction Detection with Transformers

• Paper: https://arxiv.org/pdf/2104.13682.pdf

• Code: None

5. Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

• Paper: https://arxiv.org/pdf/2104.09224.pdf

• Code: https://github.com/autonomousvision/transfuser

6. Pose Recognition with Cascade Transformers

• Paper: https://arxiv.org/pdf/2104.06976.pdf

• Code: https://github.com/mlpc-ucsd/PRTR

7. Variational Transformer Networks for Layout Generation

• Paper: https://arxiv.org/pdf/2104.02416.pdf

• Code: None

8. LoFTR: Detector-Free Local Feature Matching with Transformers

• Homepage: https://zju3dv.github.io/loftr/

• Paper: https://arxiv.org/pdf/2104.00680.pdf

• Code: https://github.com/zju3dv/LoFTR

中文解读：CVPR 2021 |  稀疏纹理也能匹配？速览基于Transformers的图像特征匹配器LoFTR

9. Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

• Paper: https://arxiv.org/pdf/2012.15840.pdf

• Code: https://github.com/fudan-zvg/SETR

• 中文解读：CVPR 2021 | Transformer再下一城！复旦等提出SETR：语义分割网络

10. Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers

• Paper: https://arxiv.org/pdf/2103.16553.pdf

• Code: None

11. Transformer Tracking

• Paper: https://arxiv.org/pdf/2103.15436.pdf

• Code: https://github.com/chenxin-dlut/TransT

 

12. MIST: Multiple Instance Spatial Transformer

• Paper: https://arxiv.org/pdf/1811.10725.pdf

• Code: None

13. Multimodal Motion Prediction with Stacked Transformers

• Paper: https://arxiv.org/pdf/2103.11624.pdf

• Code: https://decisionforce.github.io/mmTransformer

14. Revamping cross-modal recipe retrieval with hierarchical Transformers and self-supervised learning

• Paper: https://assets.amazon.science/1e/4c/93cb61584c9d959dcdea1bdfda9d/revamping-cross-modal-recipe-retrieval-with-hierarchical-transformers-and-self-supervised-learning.pdf

• Code: https://github.com/amzn/image-to-recipe-transformers

15. Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking

• Paper(Oral):https://arxiv.org/pdf/2103.11681.pdf

• Code: https://github.com/594422814/TransformerTrack

16. Pre-Trained Image Processing Transformer

• Paper:  https://arxiv.org/abs/2012.00364

• Code: None

• 中文解读：CVPR 2021 | Transformer进军low-level视觉！北大华为等提出预训练模型IPT

 

17. End-to-End Video Instance Segmentation with Transformers

• Paper(Oral): https://arxiv.org/pdf/2011.14503.pdf

• Code: https://github.com/Epiphqny/VisTR

• 中文解读：CVPR 2021 Oral | Transformer再突破！美团等提出VisTR：视频实例分割网络

18. UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

• Paper(Oral): https://arxiv.org/pdf/2011.09094.pdf

• Code: https://github.com/dddzg/up-detr

• 中文解读：CVPR 2021 Oral | Transformer再发力！华南理工和微信提出UP-DETR：无监督预训练检测器

 

19. End-to-End Human Object Interaction Detection with HOI Transformer

• Paper: https://arxiv.org/pdf/2103.04503.pdf

• Code: https://github.com/bbepoch/HoiTransformer

20. Transformer Interpretability Beyond Attention Visualization

• Paper: https://arxiv.org/pdf/2012.09838.pdf

• Code: https://github.com/hila-chefer/Transformer-Explainability

 

21. Line Segment Detection Using Transformers without Edges

• Paper(Oral): https://arxiv.org/abs/2101.01909.pdf

• Code: None

22. MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers

• Paper: https://cs.jhu.edu/~alanlab/Pubs21/wang2021max.pdf

• Code: None

23. SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation

• Paper(Oral): https://arxiv.org/pdf/2101.08833.pdf

• Code: https://github.com/dukebw/SSTVOS

 

24. Topological Planning With Transformers for Vision-and-Language Navigation

• Paper: https://arxiv.org/pdf/2012.05292.pdf

• Code: None

25. Taming Transformers for High-Resolution Image Synthesis

• Homepage: https://compvis.github.io/taming-transformers/

• Paper(Oral): https://arxiv.org/pdf/2012.09841.pdf

• Code: https://github.com/CompVis/taming-transformers

26. Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos

• Paper(Oral): https://hehefan.github.io/pdfs/p4transformer.pdf

• Code: None

 

27. General Multi-Label Image Classification With Transformers

• Paper: https://arxiv.org/pdf/2011.14027.pdf

• Code: None

28. Bottleneck Transformers for Visual Recognition

• Paper: https://arxiv.org/pdf/2101.11605.pdf

• Code: None

• 中文解读：CNN+Transformer！谷歌提出BoTNet：新主干网络！在ImageNet上达84.7%准确率！

29. VLN BERT: A Recurrent Vision-and-Language BERT for Navigation

• Paper(Oral): https://arxiv.org/pdf/2011.13922.pdf

• Code: https://github.com/YicongHong/Recurrent-VLN-BERT

30. Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling

• Paper(Oral): https://arxiv.org/pdf/2102.06183.pdf

• Code: https://github.com/jayleicn/ClipBERT

 

31. Scaling Local Self-Attention For Parameter Efficient Visual Backbones

• Paper(Oral): https://arxiv.org/pdf/2103.12731.pdf

• Code: None

 

下面是还没有公开的论文：
 

1. HR-NAS: Searching Efficient High-Resolution Neural Architectures with Transformers

Paper(Oral): None

Code: https://github.com/dingmyu/HR-NAS

2. Diverse Part Discovery: Occluded Person Re-Identification With Part-Aware Transformer

Paper: None

Code: None

3. LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity

Paper: None

Code: None

4. Facial Action Unit Detection With Transformers

Paper: None

Code: None

5. Clusformer: A Transformer Based Clustering Approach to Unsupervised Large-Scale Face and Visual Landmark Recognition

Paper: None

Code: None

6. Lesion-Aware Transformers for Diabetic Retinopathy Grading

Paper: None

Code: None

7. Adaptive Image Transformer for One-Shot Object Detection

Paper: None

Code: None

8. Multi-Stage Aggregated Transformer Network for Temporal Language Localization in Videos

Paper: None

Code: None

9. Self-Supervised Video Hashing via Bidirectional Transformers

Paper: None

Code: None

10. Gaussian Context Transformer

Paper: None

Code: None

11. Self-attention based Text Knowledge Mining for Text Detection

Paper: None

Code: https://github.com/CVI-SZU/STKM

12. SSAN: Separable Self-Attention Network for Video Representation Learning

Paper: None

Code: None

 

 

必读的 20 篇最新 ViT 论文

转自：https://mp.weixin.qq.com/s/CpmBY2qmvkxLiBmgy_PHJw