Mamba-Guided Diffusion for Prediction-Based Industrial Video Anomaly Detection
Industrial video anomaly detection must handle more than one failure mode: motion, position, rhythm, and object state may all drift We present MG-DDAD, a prediction-based normal-future anomaly detector built on a re-implementation of the DiffiiMa predictor. Given 16 frames of RGB history, it predicts a gap-4 normal-fut...