2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2023
Enhance Multi-Scale Spatial-Temporal Coherence for Configurable Video Anomaly Detection
Kai Cheng, Xinzhe Li, Lijuan Che
The development of unsupervised Video Anomaly Detection (VAD) relies on technologies in the field of signal processing. Since the anomaly is quite ambiguous and unbounded, differen…
cs.CV2022★ 2 cited
LGN-Net: Local-Global Normality Network for Video Anomaly Detection
Mengyang Zhao, Xinhua Zeng, Yang Liu +4
Video anomaly detection (VAD) has been intensively studied for years because of its potential applications in intelligent video systems. Existing unsupervised VAD methods tend to l…