https://github.com/Gorilla-Lab-SCUT/TTAC

[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
https://github.com/Gorilla-Lab-SCUT/TTAC

deep-learning domain-adaptation pseudo-labeling test-time-adaptation test-time-training

Last synced: about 2 months ago
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[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering

• Host: GitHub
• URL: https://github.com/Gorilla-Lab-SCUT/TTAC
• Owner: Gorilla-Lab-SCUT
• License: mit
• Created: 2022-05-31T13:35:50.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2023-10-06T06:01:39.000Z (about 1 year ago)
• Last Synced: 2024-08-01T03:41:57.977Z (5 months ago)
• Topics: deep-learning, domain-adaptation, pseudo-labeling, test-time-adaptation, test-time-training
• Language: Python
• Homepage: https://arxiv.org/abs/2206.02721
• Size: 1.32 MB
• Stars: 41
• Watchers: 1
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# TTAC

This repository is an official implementation for our NeurIPS 2022 paper [\[Arxiv\]](https://arxiv.org/abs/2206.02721) [\[Openreview\]](https://openreview.net/forum?id=W-_4hgRkwb).

We implement a plug and play version of TTAC without queue on another work [repo](https://github.com/Gorilla-Lab-SCUT/TRIBE/blob/master/core/adapter/ttac.py).

## 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

![](./imgs/Overview_v1.png)

### CIFAR10/100

The code is released in the [cifar](cifar) folder.

### ImageNet-C

The code is released in the [imagenet](imagenet) folder.

### Citation

If you find our work useful in your research, please consider citing:

```bibtex

@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}

}

```