Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer.
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DOI: 10.1109/tcyb.2022.3227044
Abstract: Weakly supervised video anomaly detection is generally formulated as a multiple instance learning (MIL) problem, where an anomaly detector learns to generate frame-level anomaly scores under the supervision of MIL-based video-level classification. However, most previous… read more here.
Keywords: video anomaly; weakly supervised; supervised video; temporal discriminative ... See more keywords