How Multiple‑Instance Learning Boosts Context Understanding in Video Anomaly Detection

The article reviews the CVPR 2021 MIST framework, explaining how a multiple‑instance pseudo‑label generator and a self‑guided attention encoder work together with sparse continuous sampling to improve context awareness and detection accuracy in weakly‑supervised video anomaly detection.

Attention EncoderComputer VisionMultiple Instance Learning

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How Multiple‑Instance Learning Boosts Context Understanding in Video Anomaly Detection