Jorge Miguel Bravo

Label-Free Visual Concept Drift Detection via Classifier Two-Sample Tests and Characteristic Function Embeddings

Deploying deep neural networks in non-stationary environments exposes them to concept drift, silently degrading predictive performance over time. Traditional statistical two-sample tests and distance-based heuristics frequently fail to detect natural, semantic shifts in high-dimensional visual streams. To address this...