xcit_tiny_24_p8_224

Converted TIMM image classification model for LiteRT.

• Source architecture: xcit_tiny_24_p8_224
• File: model.tflite

Model Details

• Model Type: Image classification / feature backbone
• Model Stats:
  • Params (M): 12.1
  • GMACs: 9.2
  • Activations (M): 45.4
  • Image size: 224 x 224
• Papers:
  • XCiT: Cross-Covariance Image Transformers: https://arxiv.org/abs/2106.09681
• Dataset: ImageNet-1k
• Original: https://github.com/facebookresearch/xcit

Citation

@article{el2021xcit,
  title={XCiT: Cross-Covariance Image Transformers},
  author={El-Nouby, Alaaeldin and Touvron, Hugo and Caron, Mathilde and Bojanowski, Piotr and Douze, Matthijs and Joulin, Armand and Laptev, Ivan and Neverova, Natalia and Synnaeve, Gabriel and Verbeek, Jakob and others},
  journal={arXiv preprint arXiv:2106.09681},
  year={2021}
}