3 papers
cs.CV2024
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection
Zhiwei Yang, Jing Liu, Peng Wu
Weakly supervised video anomaly detection (WSVAD) is a challenging task. Generating fine-grained pseudo-labels based on weak-label and then self-training a classifier is currently…
cs.CV2024
Open-Vocabulary Video Anomaly Detection
Peng Wu, Xuerong Zhou, Guansong Pang +4
Video anomaly detection (VAD) with weak supervision has achieved remarkable performance in utilizing video-level labels to discriminate whether a video frame is normal or abnormal.…
cs.CV2024
Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model
Peng Wu, Jing Liu, Xiangteng He +3
Video anomaly detection (VAD) has been paid increasing attention due to its potential applications, its current dominant tasks focus on online detecting anomalies% at the frame lev…