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Rethinking Semantic Segmentation from a Sequence-to-Seque... | ResearchHub
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Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
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Authors
Sixiao Zheng
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Sixiao Zheng
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Jiachen Lu
8 more
•
Li Zhang
Published
June 1, 2021
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Journal
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Topics
Computer Science
Artificial Intelligence
Engineering
Computer Vision
Computer Vision And Pattern Recognition
Show all topics
DOI
10.1109/cvpr46437.2021.00681
Other Formats
PDF
Supporters
Support the authors with ResearchCoin
Tip RSC
Journal
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Topics
Computer Science
Artificial Intelligence
Engineering
Computer Vision
Computer Vision And Pattern Recognition
Show all topics
DOI
10.1109/cvpr46437.2021.00681
Other Formats
PDF
