Emos Yalp

https://openaccess.thecvf.com/content/CVPR2024/papers/Yuan_TEA_Test-time_Energy_Adaptation_CVPR_2024_paper.pdfAbstractTest Time Adaptation (TTA) aims to improve model generalizability when test data diverges from training distribution, with the distinct advantage of not requiring access to training data and processes, especially valuable in the context of pre-trained models. However, current TTA..

https://openaccess.thecvf.com/content/ICCV2023/papers/Lee_Towards_Open-Set_Test-Time_Adaptation_Utilizing_the_Wisdom_of_Crowds_in_ICCV_2023_paper.pdfAbstractTest-time adaptation (TTA) methods, which generally rely on the model's predictions (e.g., entropy minimization) to adapt the source pretrained model to the unlabeled target domain, suffer from noisy signals originating from 1) incorrect or ..