Didik Purwanto

Dance With Self-Attention: A New Look of Conditional Random Fields on Anomaly Detection in Videos

This paper proposes a novel weakly supervised approach for anomaly detection, which begins with a relation-aware feature extractor to capture the multi-scale convolutional neural network (CNN) features from a video. Afterwards, self-attention is integrated with conditional random fields (CRFs), the…