Jin Shin

L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer

Test-time adaptation (TTA) is the most realistic methodology for adapting deep learning models to the real world using only unlabeled data from the target domain. Numerous TTA studies in deep learning have aimed at minimizing entropy. However, this necessitates forward/backward processes across the…