Contrastive-Regularized U-Net for Video Anomaly Detection
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DOI: 10.1109/access.2023.3266345
Abstract: Video anomaly detection aims to identify anomalous segments in a video. It is typically trained with weakly supervised video-level labels. This paper focuses on two crucial factors affecting the performance of video anomaly detection models.… read more here.
Keywords: regularized net; video anomaly; contrastive regularized; anomaly detection ... See more keywords