caformer_s18

Converted TIMM image classification model for LiteRT.

• Source architecture: caformer_s18
• File: model.tflite

Model Details

• Model Type: Image classification / feature backbone
• Model Stats:
  • Params (M): 26.3
  • GMACs: 4.1
  • Activations (M): 19.4
  • Image size: 224 x 224
• Papers:
  • Metaformer baselines for vision: https://arxiv.org/abs/2210.13452
• Original: https://github.com/sail-sg/metaformer
• Dataset: ImageNet-1k

Citation

@article{yu2022metaformer_baselines,
  title={Metaformer baselines for vision},
  author={Yu, Weihao and Si, Chenyang and Zhou, Pan and Luo, Mi and Zhou, Yichen and Feng, Jiashi and Yan, Shuicheng and Wang, Xinchao},
  journal={arXiv preprint arXiv:2210.13452},
  year={2022}
}