Measuring Domain Shifts in Remote Photoplethysmography using Deep Learning Model Similarity

Domain shift differences between training data and deployment context can severely impact the performance of deep learning models. We propose metrics based on model similarity to measure domain shifts, demonstrating high correlation with empirical performance.