2 papers
cs.AI2024
LCE: A Framework for Explainability of DNNs for Ultrasound Image Based on Concept Discovery
Weiji Kong, Xun Gong, Juan Wang
Explaining the decisions of Deep Neural Networks (DNNs) for medical images has become increasingly important. Existing attribution methods have difficulty explaining the meaning of…
cs.CV2024
Attention-Guided Perturbation Network for Industrial Anomaly Detection
Tingfeng Huang, Weijia Kong, Huan Liu +4
In unsupervised image anomaly detection, reconstruction-based methods learn normal patterns for data reconstruction, but often undesirably reconstruct anomalous regions at inferenc…