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eess.IV2026
AINet: Anchor Instances Learning for Regional Heterogeneity in Whole Slide Image
Tingting Zheng, Hongxun Yao, Kui Jiang +2
Recent advances in multi-instance learning (MIL) have witnessed impressive performance in whole slide image (WSI) analysis. However, the inherent sparsity of tumors and their morph…
cs.CV2026
SfMamba: Efficient Source-Free Domain Adaptation via Selective Scan Modeling
Xi Chen, Hongxun Yao, Sicheng Zhao +3
Source-free domain adaptation (SFDA) tackles the critical challenge of adapting source-pretrained models to unlabeled target domains without access to source data, overcoming data…