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Browse files- MobileNetV4ConvLarge.pth +3 -0
- MobileNetV4ConvMedium.pth +3 -0
- MobileNetV4ConvSmall.pth +3 -0
- README.md +13 -0
MobileNetV4ConvLarge.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:19897cc7060d8fa7e641cd0e50a16d9f60d07f7b4f8cb7d680976ad5bf95add6
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MobileNetV4ConvMedium.pth
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oid sha256:143dc432238ad57cb2e9239e5764fdaefbb8708e42ec6e25b515584ebe6cab24
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MobileNetV4ConvSmall.pth
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version https://git-lfs.github.com/spec/v1
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README.md
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---
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license: mit
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---
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license: mit
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---
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# MobileNetV4
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Implementation of MobileNetV4 in pure Pytorch for the ease of understanding and development.
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There are 5 types of MNv4 as indicated in the <a href="https://arxiv.org/abs/2404.10518">MobileNetV4 -- Universal Models for the Mobile Ecosystem</a>, e.g.
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- MobileNetV4ConvSmall (MNv4-Conv-S)
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- MobileNetV4ConvMedium (MNv4-Conv-M)
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- MobileNetV4ConvLarge (MNv4-Conv-L)
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- MobileNetV4HybridMedium (MNv4-Hybrid-M)
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- MobileNetV4HybridLarge (MNv4-Hybrid-L)
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## How to use the model
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Please refer https://github.com/jaiwei98/MobileNetV4-pytorch
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