AEKD: Unsupervised auto-encoder knowledge distillation for industrial anomaly detection
Q Wu, H Li, C Tian, L Wen, X Li - Journal of Manufacturing Systems, 2024 - Elsevier
Abstract Unsupervised Anomaly Detection (UAD) has achieved promising results in
industrial Surface Defect Detection. Knowledge-Distillation (KD) based UAD became a …
industrial Surface Defect Detection. Knowledge-Distillation (KD) based UAD became a …
WITH DATA-AWARE BINARY PARTITION TREES
SI EXPLANATIONS - openreview.net
Extracting a visual interpretation of a learned representation of a machine learning model
applied to image data is a relevant task in eXplainable AI (XAI). Pixel-level feature …
applied to image data is a relevant task in eXplainable AI (XAI). Pixel-level feature …