42 citations · 56 across the 9 of their papers we have counts for
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cs.CV2022★ 2 cited
FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation
Yi Li, Huifeng Yao, Hualiang Wang +1
Fully supervised semantic segmentation learns from dense masks, which requires heavy annotation cost for closed set. In this paper, we use natural language as supervision without a…
cs.CV2022★ 11 cited
Exploring Visual Interpretability for Contrastive Language-Image Pre-training
Yi Li, Hualiang Wang, Yiqun Duan +2
Contrastive Language-Image Pre-training (CLIP) learns rich representations via readily available supervision of natural language. It improves the performance of downstream vision t…
cs.CV2022
Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images
Yi Li, Yiduo Yu, Yiwen Zou +2
Developing an AI-assisted gland segmentation method from histology images is critical for automatic cancer diagnosis and prognosis; however, the high cost of pixel-level annotation…