Transformer-based Segmentation
Transformer-Based Segmentation is a semantic segmentation method that employs transformer architectures to model long-range contextual dependencies through self-attention mechanisms, distinguishing it from convolutional approaches by enabling global receptive fields and dynamic feature weighting.
659
Publications
69.5K
Citations
2.8K
Authors
710
Institutions
Publications per year
2017–2026
658
659
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Jieneng Chen, Yongyi Lu, Qihang Yu et al. · arXiv (Cornell University) · 2021 · 3.8K citations · Full text
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng, Jiachen Lu, Hengshuang Zhao et al. · 2021 · 3.5K citations
SegFormer: Simple and Efficient Design for Semantic Segmentation with\n Transformers
Enze Xie, Wenhai Wang, Zhiding Yu et al. · arXiv (Cornell University) · 2021 · 3.3K citations · Full text
PVT v2: Improved baselines with pyramid vision transformer
Wenhai Wang, Enze Xie, Xiang Li et al. · Computational Visual Media · 2022 · 2.2K citations · Full text
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710
Wuhan University
Wuhan, China
21 h-index
66 publications
12K citations

Chinese Academy of Sciences
Beijing, China
20 h-index
85 publications
6.5K citations

Zhejiang University
Hangzhou, China
16 h-index
46 publications
3.2K citations
Tsinghua University
Beijing, China
16 h-index
40 publications
11.5K citations
University of Chinese Academy of Sciences
Beijing, China
15 h-index
40 publications
3.5K citations
Tencent (China)
Shenzhen, China
12 h-index
29 publications
10.6K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
12 h-index
27 publications
10.3K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
11 h-index
21 publications
3.4K citations
1–8 of 710
Repository · 117 publications · 14.4K citations
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Conference · 29 publications · 6.2K citations
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30 publications · 2K citations
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29 publications · 2.7K citations
25
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16 publications · 2.3K citations
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