coat_lite_tiny

Converted TIMM image classification model for LiteRT.

• Source architecture: coat_lite_tiny
• File: model.tflite

Model Details

• Model Type: Image classification / feature backbone
• Model Stats:
  • Params (M): 5.7
  • GMACs: 1.6
  • Activations (M): 11.6
  • Image size: 224 x 224
• Papers:
  • Co-Scale Conv-Attentional Image Transformers: https://arxiv.org/abs/2104.06399
• Dataset: ImageNet-1k
• Original: https://github.com/mlpc-ucsd/CoaT

Citation

@InProceedings{Xu_2021_ICCV,
  author    = {Xu, Weijian and Xu, Yifan and Chang, Tyler and Tu, Zhuowen},
  title     = {Co-Scale Conv-Attentional Image Transformers},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  month     = {October},
  year      = {2021},
  pages     = {9981-9990}
}