Architecture-Aware Explanation Auditing for Industrial Visual Inspection
Industrial visual inspection systems increasingly rely on deep classifiers whose heatmap explanations may appear visually plausible while failing to identify the image regions that actually drive model decisions. This paper operationalizes an architecture-aware explanation audit protocol grounded in the native-readout hypothesis: the perturbation-based faithfulness of an explanation method is bounded by its structural distance from the model's native decision mechanism. On WM-811K wafer maps (9 classes, 172k images) under a three-seed zero-fill perturbation protocol, ViT-Tiny + Attention Rollout attains Deletion AUC 0.211 against 0.432-0.525 for Swin-Tiny / ResNet18+CBAM / DenseNet121 + G...
| Authors | Sibo Jia, Zihang Zhao, Kunrong Li |
|---|---|
| Primary category | cs.LG |
| Published | 14 May 2026 |
| Last updated at source | 23 May 2026 |
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