Abstract: In this research, we created a multimodal deep learning model, which incorporates visual, audio, and textual data that can perform better than video categorization using only one modality.
Abstract: Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much ...
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