2 citations · 2 across the 1 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
Exploiting Spatial-temporal Correlations for Video Anomaly Detection
Mengyang Zhao, Yang Liu, Jing Li +1
Video anomaly detection (VAD) remains a challenging task in the pattern recognition community due to the ambiguity and diversity of abnormal events. Existing deep learning-based VA…