Video anomaly detection and localization is the process of spatiotemporally localizing the
anomalous video segment corresponding to the abnormal event or activities. It is …

As deep learning becomes increasingly prevalent in seismic impedance inversion, 3D data-
driven approaches have garnered substantial interest. However, two critical challenges …

Recent advancements in video anomaly understanding (VAU) have opened the door to
groundbreaking applications in various fields, such as traffic monitoring and industrial …

Abstract This paper introduces FEMemAE-Jigsaw, a hybrid detection framework that
leverages a fusion of reconstruction and jigsaw puzzle detection for video anomaly …

We propose a novel approach for video anomaly detection. Existing video anomaly
detection methods train only on normal frames, with the expectation that the quality of the …

“With the progression of network perception and detection capabilities, multi-class anomaly
detection and localization have become promising research areas. The primary challenge …

In the context of intelligent driving assistance systems, it is very important to effectively
identify traffic accidents in the driving video captured by the on-board camera with the driver …

Abnormal human activity detection is crucial for security and public safety, but traditional
Machine Learning (ML) techniques face challenges. A major limitation is the reliance on …