cait_xxs24_224

Converted TIMM image classification model for LiteRT.

• Source architecture: cait_xxs24_224
• File: model.tflite

Model Details

• Model Type: Image classification / feature backbone
• Model Stats:
  • Params (M): 12.0
  • GMACs: 2.5
  • Activations (M): 20.3
  • Image size: 224 x 224
• Papers:
  • Going deeper with Image Transformers: https://arxiv.org/abs/2103.17239
• Dataset: ImageNet-1k
• Original: https://github.com/facebookresearch/deit

Citation

@InProceedings{Touvron_2021_ICCV,
    author    = {Touvron, Hugo and Cord, Matthieu and Sablayrolles, Alexandre and Synnaeve, Gabriel and J'egou, Herv'e},
    title     = {Going Deeper With Image Transformers},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2021},
    pages     = {32-42}
}