AI RESEARCH
Adaptation of Weakly Supervised Localization in Histopathology by Debiasing Predictions
arXiv CS.CV
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ArXi:2603.12468v1 Announce Type: new Weakly Supervised Object Localization (WSOL) models enable joint classification and region-of-interest localization in histology images using only image-class supervision. When deployed in a target domain, distributions shift remains a major cause of performance degradation, especially when applied on new organs or institutions with different staining protocols and scanner characteristics.