Video anomaly detection (VAD) has been paid increasing attention due to its potential applications, its current dominant tasks focus on online detecting anomalies, which can be roughly interpreted as ...

This repository contains the code for the paper, EVAL: Explainable Video Anomaly Localization by Ashish Singh, Michael Jones and Erik Learned-Miller. Abstract: We develop a novel framework for ...

pyCLAD is a unified framework for continual anomaly detection. Its main goal is to foster successful scientific development in continual anomaly detection by providing robust implementations of ...

Weakly supervised video anomaly detection (WS-VAD) is a crucial research domain in computer vision for the implementation of intelligent surveillance systems. Many researchers have been working to ...

Hence, it is crucial to extract extensive contextual data that surpasses the scope of image-based and object-based characteristics for the precise detection of atypical occurrences within a video, as ...