p-ResNet-50 adds a prototype layer with anchor- and medoid-based regularizations to ResNet-50, achieving ROC-AUC 0.994 and accuracy 0.957 on ~12k XCT patches while supplying case-based explanations aligned to expert categories.
Deep residual learning for im- age recognition
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Interpretable Computer Vision for Defect Detection in X-ray Tomography of Aerospace SiC/SiC Composites
p-ResNet-50 adds a prototype layer with anchor- and medoid-based regularizations to ResNet-50, achieving ROC-AUC 0.994 and accuracy 0.957 on ~12k XCT patches while supplying case-based explanations aligned to expert categories.
- SVL: Empowering Spiking Neural Networks for Efficient 3D Open-World Understanding