CORP is introduced as the first public benchmark dataset for multi-modal roadside perception tasks in campus scenarios, collected from diverse pole-mounted sensors with rich annotations beyond standard bounding boxes.
A new comprehensive benchmark for semi-supervised video anomaly detection and anticipation
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CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks
CORP is introduced as the first public benchmark dataset for multi-modal roadside perception tasks in campus scenarios, collected from diverse pole-mounted sensors with rich annotations beyond standard bounding boxes.