RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations 事件

RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations arXiv:2410.00713v4 Announce Type: replace Abstract: Anomaly detection is a core capability for robotic perception and industrial inspection, yet most existing benchmarks are collected under controlled conditions with fixed viewpoints and stable illumination, failing to reflect real deployment scenarios. We introduce RAD (Realistic Anomaly Detection), a robot-captured, multi-view dataset designed to stress pos