2026
Formally Exploring Visual Anomaly Detection Evaluation Metrics
Nasar Iqbal, Dennis Wagner, Philipp Liznerski, Nabeel Hussain Syed, Sophie Fellenz, Niki Martinel +1
ICML 2026poster
Inaccurate Visual Anomaly Detection (VAD) can lead to critical failures in safety-sensitive domains, including autonomous navigation and industrial surveillance. With the increasing abundance and rapid proliferation of VAD algorithms, their reliable evaluation has become increasingly important and c…