Abstract: Recognizing the activities causing distraction in real-world driving scenarios is critical for ensuring the safety and reliability of both drivers and pedestrians on the roadways.

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Abstract: Video anomaly detection (VAD) confronts significant challenges arising from data scarcity in real-world open scenarios, encompassing sparse annotations, labeling costs, and limitations on ...