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cs.CV2025
SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation
Hongjie Zhu, Xiwei Liu, Rundong Xue +5
In the era of information explosion, efficiently leveraging large-scale unlabeled data while minimizing the reliance on high-quality pixel-level annotations remains a critical chal…
cs.CV2025
DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation Maps
Hongjie Zhu, Zeyu Zhang, Guansong Pang +6
Weakly supervised semantic segmentation (WSSS) typically utilizes limited semantic annotations to obtain initial Class Activation Maps (CAMs). However, due to the inadequate coupli…