Video anomaly detection with U-Net temporal modelling and contrastive regularization
Video anomaly detection (VAD) which is able to automatically identify the location of the anomaly event that happened in the video is one of the current hot study areas in deep learning. Due to expensive frame-level annotation in video samples, most of the VAD are trained with the weakly-supervised...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2023
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| Online Access: | http://eprints.utar.edu.my/5786/1/fyp_CS_2023_GKY.pdf http://eprints.utar.edu.my/5786/ |
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