Hierarchical Vision Transformer with Channel Attention for RGB-D Image Segmentation-Reference-Cited by-同舟云学术

Hierarchical Vision Transformer with Channel Attention for RGB-D Image Segmentation

Published:2022-03-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th International Symposium on Signal Processing Systems
language:
Short-container-title:

Author:

Yang Yali¹,Xu Yuanping¹,Zhang Chaolong²,Xu Zhijie²,Huang Jian¹

Affiliation:

1. School of Software Engineering, Chengdu University of Information Technology, China

2. School of Computing and Engineering, University of Huddersfield, UK

Funder

NSFC

the Sichuan Science and Technology Programs

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3532342.3532352

Reference19 articles.

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3. Peng Z , Huang W , Gu S , Conformer : Local Features Coupling Global Representations for Visual Recognition [J]. arXiv preprint arXiv:2105.03889, 2021 . Peng Z, Huang W, Gu S, Conformer: Local Features Coupling Global Representations for Visual Recognition[J]. arXiv preprint arXiv:2105.03889, 2021.

4. Strudel R , Garcia R , Laptev I , Segmenter : Transformer for Semantic Segmentation [J]. arXiv preprint arXiv:2105.05633, 2021 . Strudel R, Garcia R, Laptev I, Segmenter: Transformer for Semantic Segmentation[J]. arXiv preprint arXiv:2105.05633, 2021.

5. Liu Z , Lin Y , Cao Y , Swin transformer: Hierarchical vision transformer using shifted windows[J]. arXiv preprint arXiv:2103.14030 , 2021 . Liu Z, Lin Y, Cao Y, Swin transformer: Hierarchical vision transformer using shifted windows[J]. arXiv preprint arXiv:2103.14030, 2021.

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