Awesome Test-Time Adaptation
A curated list of test-time adaptation methods.
Code Library
Coming soon...
Papers
Benchmark
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On Pitfalls of Test-Time Adaptation. ICML 2023.
Zhao, Hao and Liu, Yuejiang and Alahi, Alexandre and Lin, Tao.
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A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts. Arxiv 2023.
Liang, Jian and He, Ran and Tan, Tieniu.
Self-supervision
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Test-Time Training with Self-Supervision for Generalization under Distribution Shifts. ICML 2020.
Sun, Yu and Wang, Xiaolong and Liu, Zhuang and Miller, John and Efros, Alexei and Hardt, Moritz.
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TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive? NeurIPS 2021.
Liu, Yuejiang and Kothari, Parth and Van Delft, Bastien and Bellot-Gurlet, Baptiste and Mordan, Taylor and Alahi, Alexandre.
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Contrastive Test-Time Adaptation. CVPR 2022.
Chen, Dian and Wang, Dequan and Darrell, Trevor and Ebrahimi, Sayna.
Information Entropy
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Tent: Fully Test-Time Adaptation by Entropy Minimization. ICLR 2021.
Wang, Dequan and Shelhamer, Evan and Liu, Shaoteng and Olshausen, Bruno and Darrell, Trevor.
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DomainAdaptor: A Novel Approach to Test-time Adaptation. ICCV 2023.
Zhang, Jian and Qi, Lei and Shi, Yinghuan and Gao, Yang.
Pseudo Labeling
Class Prototype
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Feature Alignment and Uniformity for Test Time Adaptation. CVPR 2023.
Wang, Shuai and Zhang, Daoan and Yan, Zipei and Zhang, Jianguo and Li, Rui.
Batch Normalization
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Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. ICCV 2023.
Park, Sunghyun and Yang, Seunghan and Choo, Jaegul and Yun, Sungrack.
[Paper][Code]
Nearest Neighbors
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Test-time adaptation via self-training with nearest neighbor information. ICLR 2023.
Jang, Minguk and Chung, Sae-Young and Chung, Hye Won.
Augmentation Invariance
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MEMO: Test Time Robustness via Adaptation and Augmentation. NeurIPS 2022.
Zhang, Marvin and Levine, Sergey and Finn, Chelsea.
Meta-learning
Input Adaptation
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Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption. CVPR 2023.
Gao, Jin and Zhang, Jialing and Liu, Xihui and Darrell, Trevor and Shelhamer, Evan and Wang, Dequan.
Continual Test-Time Adaptation
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CoTTA: Continual Test-Time Adaptation. CVPR 2022.
Wang, Qin and Fink, Olga and Van Gool, Luc and Dai, Dengxin.
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NOTE: Robust continual test-time adaptation against temporal correlation. NeurIPS 2022.
Gong, Taesik and Jeong, Jongheon and Kim, Taewon and Kim, Yewon and Shin, Jinwoo and Lee, Sung-Ju.
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Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation. AAAI 2023 .
Gan, Yulu and Bai, Yan and Lou, Yihang and Ma, Xianzheng and Zhang, Renrui and Shi, Nian and Luo, Lin.
[Paper][Code] (Outstanding Student Paper)
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EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization. CVPR 2023.
Song, Junha and Lee, Jungsoo and Kweon, In So and Choi, Sungha.
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Robust Mean Teacher for Continual and Gradual Test-Time Adaptation. CVPR 2023.
Dobler, Mario and Marsden, Robert A and Yang, Bin.
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ActMAD: Activation Matching to Align Distributions for Test-Time-Training. CVPR 2023.
Mirza, Muhammad Jehanzeb and Soneira, Pol Jane and Lin, Wei and Kozinski, Mateusz and Possegger, Horst and Bischof, Horst.
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SATA: Source Anchoring and Target Alignment Network for Continual Test Time Adaptation. Arxiv 2023.
Chakrabarty, Goirik and Sreenivas, Manogna and Biswas, Soma.
[Paper][Code]
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ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation. Arxiv 2023.
Liu, Jiaming and Yang, Senqiao and Jia, Peidong and Lu, Ming and Guo, Yandong and Xue, Wei and Zhang, Shanghang.
[Paper][Code]