pytorch-image-models/docs/models/.templates/models/tresnet.md

TResNet

A TResNet is a variant on a ResNet that aim to boost accuracy while maintaining GPU training and inference efficiency. They contain several design tricks including a SpaceToDepth stem, Anti-Alias downsampling, In-Place Activated BatchNorm, Blocks selection and squeeze-and-excitation layers.

{% include 'code_snippets.md' %}

How do I train this model?

You can follow the timm recipe scripts for training a new model afresh.

Citation

@misc{ridnik2020tresnet,
      title={TResNet: High Performance GPU-Dedicated Architecture}, 
      author={Tal Ridnik and Hussam Lawen and Asaf Noy and Emanuel Ben Baruch and Gilad Sharir and Itamar Friedman},
      year={2020},
      eprint={2003.13630},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}