3 citations · 7 across the 4 of their papers we have counts for
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cs.CV2023★ 3 cited
Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation
Jiren Mai, Fei Zhang, Junjie Ye +5
Weakly Supervised Semantic Segmentation (WSSS) with image-level labels has long been suffering from fragmentary object regions led by Class Activation Map (CAM), which is incapable…
cs.CV2023★ 2 cited
Zero3D: Semantic-Driven Multi-Category 3D Shape Generation
Bo Han, Yitong Fu, Yixuan Shen
Semantic-driven 3D shape generation aims to generate 3D objects conditioned on text. Previous works face problems with single-category generation, low-frequency 3D details, and req…