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--- |
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tags: |
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- image-classification |
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library_name: coreml |
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license: other |
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license_name: apple-ascl |
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license_link: LICENSE |
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datasets: |
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- imagenet-1k |
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--- |
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# FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization |
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Please observe [original license](https://github.com/apple/ml-fastvit/blob/8af5928238cab99c45f64fc3e4e7b1516b8224ba/LICENSE). |
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## Model Details |
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- **Model Type:** Image classification |
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- **Model Stats:** |
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- Params (M): 44.1 |
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- GMACs: 7.8 |
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- Activations (M): 40.4 |
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- Image size: 256 x 256 |
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- **Papers:** |
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- FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization: https://arxiv.org/abs/2303.14189 |
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- **Original:** https://github.com/apple/ml-fastvit |
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- **Dataset:** ImageNet-1k |
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## Citation |
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```bibtex |
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@inproceedings{vasufastvit2023, |
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author = {Pavan Kumar Anasosalu Vasu and James Gabriel and Jeff Zhu and Oncel Tuzel and Anurag Ranjan}, |
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title = {FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization}, |
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booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision}, |
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year = {2023} |
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} |
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``` |
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