metadata
tags:
- image-classification
library_name: coreml
license: other
datasets:
- imagenet-1k
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization
Please observe original license.
Model Details
- Model Type: Image classification
- Model Stats:
- Params (M): 44.1
- GMACs: 7.8
- Activations (M): 40.4
- Image size: 256 x 256
- Papers:
- FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization: https://arxiv.org/abs/2303.14189
- Original: https://github.com/apple/ml-fastvit
- Dataset: ImageNet-1k
Citation
@inproceedings{vasufastvit2023,
author = {Pavan Kumar Anasosalu Vasu and James Gabriel and Jeff Zhu and Oncel Tuzel and Anurag Ranjan},
title = {FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
year = {2023}
}