VQ-VAD turns pose sequences into a discrete motion codebook and detects anomalies by reconstruction error, showing competitive in-domain and cross-dataset results on four benchmarks.
Towards adaptive human-centric video anomaly detection: A comprehensive framework and a new benchmark
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VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection
VQ-VAD turns pose sequences into a discrete motion codebook and detects anomalies by reconstruction error, showing competitive in-domain and cross-dataset results on four benchmarks.