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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Published in | Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 7071 - 7080 |
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Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English Japanese |
Published |
IEEE
01.06.2023
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Subjects | |
Online Access | Get full text |
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