Efficient NASNetMobile-enhanced Vision Transformer for weakly supervised video anomaly detection

Current video anomaly detection (VAD) methods struggle to prioritize informative frames and lack effective mechanisms to collect both local and global video contexts. Traditional methods rely on deep 3-D convolutional neural network (CNN) backbones that still fail to capture the intricate spatiotemp...

Full description

Bibliographic Details

Main Authors:	Arif Mohamad, Muhammad Luqman, Abd Rahman, Mohd Amiruddin, Mohd Shah, Nurisya, Kumar Sangaiah, Arun
Format:	Article
Published:	Institute of Electrical and Electronics Engineers Inc. 2026
Subjects:	Signal Processing Information Systems
Online Access:	http://psasir.upm.edu.my/id/eprint/122672/ https://ieeexplore.ieee.org/document/11220260/
Tags:	Add Tag No Tags, Be the first to tag this record!