2 papers
cs.CV2026
Weakly Supervised Video Anomaly Detection with Anomaly-Connected Components and Intention Reasoning
Yu Wang, Shengjie Zhao
Weakly supervised video anomaly detection (WS-VAD) involves identifying the temporal intervals that contain anomalous events in untrimmed videos, where only video-level annotations…
cs.CV2025
Learning Event Completeness for Weakly Supervised Video Anomaly Detection
Yu Wang, Shiwei Chen
Weakly supervised video anomaly detection (WS-VAD) is tasked with pinpointing temporal intervals containing anomalous events within untrimmed videos, utilizing only video-level ann…