Benchmarking shows VAD methods transfer to autonomous driving scenes, with Tiny-Dinomaly providing the strongest accuracy-efficiency balance for edge hardware.
Cfa: Coupled-hypersphere-based feature adaptation for target-oriented anomaly localization,
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AD4AD: Benchmarking Visual Anomaly Detection Models for Safer Autonomous Driving
Benchmarking shows VAD methods transfer to autonomous driving scenes, with Tiny-Dinomaly providing the strongest accuracy-efficiency balance for edge hardware.