TTE-CAM: Self-Explainable Class Activation Maps for Pretrained Black-Box CNNs 事件

TTE-CAM: Self-Explainable Class Activation Maps for Pretrained Black-Box CNNs arXiv:2603.26885v2 Announce Type: replace Abstract: Convolutional neural networks (CNNs) achieve state-of-the-art performance in medical image analysis yet remain opaque, limiting adoption in high-stakes clinical settings. Existing approaches face a fundamental trade-off: post-hoc methods provide unfaithful approximate explanations, while inherently interpretable architectures are faithful but often sacrifice predicti