Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Author:

Liu Ze1,Lin Yutong1,Cao Yue1,Hu Han1,Wei Yixuan1,Zhang Zheng1,Lin Stephen1,Guo Baining1

Affiliation:

1. Microsoft Research Asia

Publisher

IEEE

Reference76 articles.

1. Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers;zheng,2020

2. Exploring self-attention for image recognition;zhao;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2020

3. Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection

4. Resnest: Split-attention networks;zhang,2020

5. Deformable fdetrg: Deformable transformers for end-to-end object detection;zhu;International Conference on Learning Representations,2021

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