82 citations · 207 across the 24 of their papers we have counts for
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cs.CV2022★ 2 cited
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation
Zesen Cheng, Pengchong Qiao, Kehan Li +6
Weakly supervised semantic segmentation is typically inspired by class activation maps, which serve as pseudo masks with class-discriminative regions highlighted. Although tremendo…
cs.CV2022★ 5 cited
ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation
Kehan Li, Zhennan Wang, Zesen Cheng +6
Recently, self-supervised large-scale visual pre-training models have shown great promise in representing pixel-level semantic relationships, significantly promoting the developmen…
cs.CV2022★ 68 cited
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding
Yanmin Wu, Xinhua Cheng, Renrui Zhang +2
3D visual grounding aims to find the object within point clouds mentioned by free-form natural language descriptions with rich semantic cues. However, existing methods either extra…