AVID-DR: Active-View Selection and Cross-Scale Instance-Aware Anomaly Detection with Diffusion Reconstruction
Multi-view visual analysis is often limited by redundant observations, scale-varying anomalies and incomplete image evidence. This paper proposes AVID-DR, a unified pattern-recognition framework that integrates uncertainty-guided active-view selection, confidence-weighted multi-view fusion, cross-scale instance-aware a...