Advancing Model Generalization in Continuous Cyclic Test-Time Adaptation with Matrix Perturbation Noise
Test-time adaptation (TTA) aims to optimize source-pretrained model parameters to target domains using only unlabeled test data.However, traditional TTA methods often risk overfitting to the specific, localized test domains, leading to compromised generalization.Moreover, these methods generally presume static target domains, neglecting the dynamic