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

no code implementations • ICCV 2021 • Didik Purwanto, Yie-Tarng Chen, Wen-Hsien Fang

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.

Anomaly Detection

Video Anomaly Detection and Localization Using Hierarchical Feature Representation and Gaussian Process Regression

no code implementations • CVPR 2015 • Kai-Wen Cheng, Yie-Tarng Chen, Wen-Hsien Fang

This paper presents a hierarchical framework for detecting local and global anomalies via hierarchical feature representation and Gaussian process regression.

Anomaly Detection regression +1