SAVANT reformulates semantic anomaly detection as layered consistency verification, raising VLM recall by 18.5% on real driving images and enabling a fine-tuned 7B open model to reach 90.8% recall and 93.8% accuracy.
Pop, ”LENS-AD: A Foundation Model-based Safety Monitor for Semantic Anomaly Detection in Autonomous Driving,” M.S
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Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning
SAVANT reformulates semantic anomaly detection as layered consistency verification, raising VLM recall by 18.5% on real driving images and enabling a fine-tuned 7B open model to reach 90.8% recall and 93.8% accuracy.