Shervin Rahimzadeh Arashloo

Deep Convolutional Large-Margin $\ell_p$-SVDD for Visual Anomaly Detection

Alireza Dastmalchi Saei, Shervin Rahimzadeh Arashloo

Visual anomaly detection requires adaptive representations and reliable decision boundaries, particularly when anomalous training samples are scarce and class distributions are highly imbalanced. Classical kernel-based methods yield principled geometric decision regions but typic…Read more