deit_tiny_patch16_224

Converted TIMM image classification model for LiteRT.

• Source architecture: deit_tiny_patch16_224
• File: model.tflite

Model Details

• Model Type: Image classification / feature backbone
• Model Stats:
  • Params (M): 5.7
  • GMACs: 1.3
  • Activations (M): 6.0
  • Image size: 224 x 224
• Papers:
  • Training data-efficient image transformers & distillation through attention: https://arxiv.org/abs/2012.12877
• Original: https://github.com/facebookresearch/deit
• Dataset: ImageNet-1k

Citation

@InProceedings{pmlr-v139-touvron21a,
  title =     {Training data-efficient image transformers & distillation through attention},
  author =    {Touvron, Hugo and Cord, Matthieu and Douze, Matthijs and Massa, Francisco and Sablayrolles, Alexandre and Jegou, Herve},
  booktitle = {International Conference on Machine Learning},
  pages =     {10347--10357},
  year =      {2021},
  volume =    {139},
  month =     {July}
}

@misc{rw2019timm,
  author = {Ross Wightman},
  title = {PyTorch Image Models},
  year = {2019},
  publisher = {GitHub},
  journal = {GitHub repository},
  doi = {10.5281/zenodo.4414861},
  howpublished = {\url{https://github.com/huggingface/pytorch-image-models}}
}