1 citations · 1 across the 3 of their papers we have counts for
3 papers · 1 filter
Balanced Prompt Adaptation against Entropy-Induced Collapse for Test-Time Binary Segmentation
Zhengshan Wang, Joshua Charles Webster-Ford, Yifei Tian +3
Entropy minimization is a standard objective for test-time adaptation (TTA), but it can fail in imbalanced binary segmentation. Unlike image classification, dense segmentation aggr…
Spatial-Spectral Adaptive Fidelity and Noise Prior Reduction Guided Hyperspectral Image Denoising
Xuelin Xie, Xiliang Lu, Zhengshan Wang +2
The core challenge of hyperspectral image denoising is striking the right balance between data fidelity and noise prior modeling. Most existing methods place too much emphasis on t…
Deep Learning Method to Predict Wound Healing Progress Based on Collagen Fibers in Wound Tissue
Juan He, Xiaoyan Wang, Long Chen +2
Wound healing is a complex process involving changes in collagen fibers. Accurate monitoring of these changes is crucial for assessing the progress of wound healing and has signifi…