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cs.CV2026
Bi-Level Collaborative Learning for Few-Shot Scribble-Supervised Medical Image Segmentation
Xiang-Xiang Su, Yufan Ye, Yihang Zheng +2
Scribble annotations offer an efficient alternative to costly pixel-wise labeling for medical image segmentation, yet in real clinical scenarios, scribble-annotated samples are oft…
cs.CV2024
Efficient Learnable Collaborative Attention for Single Image Super-Resolution
Yigang Zhao Chaowei Zheng, Jiannan Su, GuangyongChen +1
Non-Local Attention (NLA) is a powerful technique for capturing long-range feature correlations in deep single image super-resolution (SR). However, NLA suffers from high computati…