5 citations · 5 across the 4 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.CV2023
Dual-Augmented Transformer Network for Weakly Supervised Semantic Segmentation
Jingliang Deng, Zonghan Li
Weakly supervised semantic segmentation (WSSS), a fundamental computer vision task, which aims to segment out the object within only class-level labels. The traditional methods ado…
cs.CV2023
COMNet: Co-Occurrent Matching for Weakly Supervised Semantic Segmentation
Yukun Su, Jingliang Deng, Zonghan Li
Image-level weakly supervised semantic segmentation is a challenging task that has been deeply studied in recent years. Most of the common solutions exploit class activation map (C…