317 citations · 421 across the 6 of their papers we have counts for
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cs.CV2023★ 7 cited
Exploring Effective Priors and Efficient Models for Weakly-Supervised Change Detection
Zhenghui Zhao, Lixiang Ru, Chen Wu
Weakly-supervised change detection (WSCD) aims to detect pixel-level changes with only image-level annotations. Owing to its label efficiency, WSCD is drawing increasing attention…
cs.CV2023★ 9 cited
Token Contrast for Weakly-Supervised Semantic Segmentation
Lixiang Ru, Heliang Zheng, Yibing Zhan +1
Weakly-Supervised Semantic Segmentation (WSSS) using image-level labels typically utilizes Class Activation Map (CAM) to generate the pseudo labels. Limited by the local structure…