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[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
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Gorilla-Lab-SCUT/TTAC
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This repository is an official implementation for our NeurIPS 2022 paper[Arxiv][Openreview].
We implement a plug and play version of TTAC without queue on another workrepo.
Yongyi Su1 Xun Xu21 Kui Jia13
1South China University of Technology 2Institute for Infocomm Research 3Peng Cheng Laboratory
The code is released in thecifar folder.
The code is released in theimagenet folder.
If you find our work useful in your research, please consider citing:
@inproceedings{ su2022revisiting,title={Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering},author={Yongyi Su and Xun Xu and Kui Jia},booktitle={Advances in Neural Information Processing Systems},editor={Alice H. Oh and Alekh Agarwal and Danielle Belgrave and Kyunghyun Cho},year={2022},url={https://openreview.net/forum?id=W-_4hgRkwb}}
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[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
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