Rajvinder Singh

Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning

Anomaly detection with weakly supervised video-level labels is typically formulated as a multiple instance learning (MIL) problem, in which we aim to identify snippets containing abnormal events, with each video represented as a bag of video snippets. Although current methods show effective detectio…