Beyond Hazard Resemblance: Contrastive Event Adjudication for Training-Free Video Anomaly Detection
This work proposes Contrastive Event Adjudication for training-free Video Anomaly Detection (CEAVAD), which shifts the unit of inference from isolated anomaly concepts to falsifiable event hypotheses and establishes an inference-time explanatory boundary through the interaction between competing explanations and video...