TTAC
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[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
TTAC
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 work repo.
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
Yongyi Su1 Xun Xu21 Kui Jia13
1South China University of Technology 2Institute for Infocomm Research 3Peng Cheng Laboratory
Overview

CIFAR10/100
The code is released in the cifar folder.
ImageNet-C
The code is released in the imagenet folder.
Citation
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}
}