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Xingwu Wang

1 accepted papers

2025

Adaptive Learning of High-Value Regions for Semi-Supervised Medical Image Segmentation

ICCV 2025poster

Existing semi-supervised learning methods typically mitigate the impact of unreliable predictions by suppressing low-confidence regions. However, these methods fail to explore which regions hold higher learning value and how to design adaptive learning strategies for these regions. To address these…