Gang Fang

STAF: Pushing the Boundaries of Test-Time Adaptation towards Practical Noise Scenarios

Test-time adaptation (TTA) aims to adapt the neural network to the distribution of the target domain using only unlabeled test data. Most previous TTA methods have achieved success under mild conditions, such as considering only a single or multiple independent static domains. However, in real-world…