You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Tiny-ImageNet-ResNet

This project expends torchvision to support training on Tiny-ImageNet. Code is based on the official implementation for image classification in torchvision: https://github.com/pytorch/vision/tree/main/references/classification

Model Details

Model Sources

Downstream Use

  • Dataset Distillation: SRe2L distilled Tiny-ImageNet images from these models

Training Details

https://github.com/zeyuanyin/tiny-imagenet/tree/main#training

Evaluation

Citation

@inproceedings{yin2023sre2l,
    title={Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective},
    author={Yin, Zeyuan and Xing, Eric and Shen, Zhiqiang},
    booktitle={Proceedings of the Advances in Neural Information Processing Systems (NeurIPS)},
    year={2023}
}

Model Card Author

@zeyuanyin

Model Card Contact

yinzeyuan1037@gmail.com

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and HF Inference API was unable to determine this model's library.