19 citations · 43 across the 11 of their papers we have counts for
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cs.CV2021★ 4 cited
Few-shot Segmentation with Optimal Transport Matching and Message Flow
Weide Liu, Chi Zhang, Henghui Ding +2
We tackle the challenging task of few-shot segmentation in this work. It is essential for few-shot semantic segmentation to fully utilize the support information. Previous methods…
cs.CV2021★ 2 cited
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation
Weide Liu, Xiangfei Kong, Tzu-Yi Hung +1
Weakly supervised image segmentation trained with image-level labels usually suffers from inaccurate coverage of object areas during the generation of the pseudo groundtruth. This…
cs.CV2021★ 14 cited
Few-Shot Segmentation with Global and Local Contrastive Learning
Weide Liu, Zhonghua Wu, Henghui Ding +4
In this work, we address the challenging task of few-shot segmentation. Previous few-shot segmentation methods mainly employ the information of support images as guidance for query…