Jorge Miguel Bravo

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

This work proposes a real-time, label-free concept drift detection framework that couples the Classifier Two-Sample Test (C2ST) with a novel Characteristic Function Embedding (CFE) bottleneck, operating directly on deep convolutional representations.