Gorilla-Lab-SCUT / TTAC

[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 Jia^13
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}
}