TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation

Although vision transformers (ViTs) have achieved great success in computer vision, the heavy computational cost hampers their applications to dense prediction tasks such as semantic segmentation on mobile devices. In this paper, we present a mobile-friendly architecture named Token Pyramid Vision T...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 12073 - 12083
Main Authors:	Zhang, Wenqiang, Huang, Zilong, Luo, Guozhong, Chen, Tao, Wang, Xinggang, Liu, Wenyu, Yu, Gang, Shen, Chunhua
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2022
Subjects:	Computer architecture Computer vision Deep learning Deep learning architectures and techniques; Segmentation grouping and shape analysis Mobile handsets Semantics Shape Transformers
ISSN:	1063-6919
Online Access:	Get full text
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