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 inProceedings (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
LanguageEnglish
Japanese
Published IEEE 01.06.2023
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