This repository includes the mentioned test-time adaptation papers in Beyond Model Adaptation at Test Time: A Survey
We categorize the test-time adaptation methods into five main categories, based on what they adapt: the model, the inference, the normalization, the sample, or the prompt. The categorizations and paper links are provided in What to adapt.
We also summarize the main training and adaptation settings of the test-time adaptation methods, details and papers are in How to prepare (training settings) and How to adapt (adaptation settings), respectively.
We put the commonly used image classification datasets for test-time adaptation methods in Datasets.
The applications of test-time adaptation methods are summarized in the Applications.
Domain adaptation (papers)
Domain generalization (papers)
Survey papers:
- Generalizing to Unseen Domains: A Survey on Domain Generalization [IJCAI 2021] [Slides]
- Domain Generalization in Vision: A Survey [TPAMI 2022]
Source-free domain adaptation (papers)
Survey paper:
There are also two recent survey papers for test-time adaptation.