https://fudan-zvg.github.io/SETR/

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
https://fudan-zvg.github.io/SETR/

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[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

• Host: GitHub
• URL: https://fudan-zvg.github.io/SETR/
• Owner: fudan-zvg
• License: mit
• Created: 2020-12-30T10:18:45.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2023-04-27T16:57:37.000Z (over 1 year ago)
• Last Synced: 2024-05-14T00:15:54.869Z (7 months ago)
• Language: Python
• Homepage:
• Size: 12.2 MB
• Stars: 1,016
• Watchers: 34
• Forks: 144
• Open Issues: 15
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome_vision_transformer - https://fudan-zvg.github.io/SETR/
• awesome_vision_transformer - https://fudan-zvg.github.io/SETR/