A survey on deep transfer learning and beyond
F Yu, X ** the online data buffering and organizing mechanism for continual test-time adaptation
Abstract Continual Test-Time Adaptation (CTTA) involves adapting a pre-trained source
model to continually changing unsupervised target domains. In this paper, we systematically …
model to continually changing unsupervised target domains. In this paper, we systematically …
Test-time fourier style calibration for domain generalization
The topic of generalizing machine learning models learned on a collection of source
domains to unknown target domains is challenging. While many domain generalization (DG) …
domains to unknown target domains is challenging. While many domain generalization (DG) …
Improving domain generalization by hybrid domain attention and localized maximum sensitivity
WWY Ng, Q Zhang, C Zhong, J Zhang - Neural Networks, 2024 - Elsevier
Abstract Domain generalization has attracted much interest in recent years due to its
practical application scenarios, in which the model is trained using data from various source …
practical application scenarios, in which the model is trained using data from various source …