A Simple Framework for Text-Supervised Semantic Segmentation

Text-supervised semantic segmentation is a novel research topic that allows semantic segments to emerge with image-text contrasting. However, pioneering methods could be subject to specifically designed network architectures. This paper shows that a vanilla contrastive language-image pretraining (CL...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 7071 - 7080
Main Authors:	Yi, Muyang, Cui, Quan, Wu, Hao, Yang, Cheng, Yoshie, Osamu, Lu, Hongtao
Format:	Conference Proceeding
Language:	English Japanese
Published:	IEEE 01.06.2023
Subjects:	and reasoning Codes Computer vision language Location awareness Network architecture Semantic segmentation Semantics Vision Visualization
ISSN:	1063-6919
Online Access:	Get full text
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