MobileNetV4 weights are now in timm!  So far these are the only weights for these models as the offiicial Tensorflow impl remains weightless.
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MobileNetV4 weights are now in timm!  So far these are the only weights for these models as the offiicial Tensorflow impl remains weightless.
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Guided by paper hparams with a few tweaks, I've managed to match or beat the paper results training the medium models. I'm still working on large and improving the small result. They appear to be solid models for on-device use.
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Guided by paper hparams with a few tweaks, I've managed to match or beat the paper results training the medium models. I'm still working on large and improving the small result. They appear to be solid models for on-device use.
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https://huggingface.co/collections/timm/mobilenetv4-pretrained-weights-6669c22cda4db4244def9637
timm/mobilenetv4-pretrained-weights-6669c22cda4db4244def9637
collection
resource
https://huggingface.co/collections/timm/mobilenetv4-pretrained-weights-6669c22cda4db4244def9637
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MobileNetV4 -- Universal Models for the Mobile Ecosystem (2404.10518)
https://huggingface.co/papers/2404.10518
2404.10518
paper
resource
https://huggingface.co/papers/2404.10518
MobileNetV4 weights are now in timm!  So far these are the only weights for these models as the offiicial Tensorflow impl remains weightless.

Guided by paper hparams with a few tweaks, I've managed to match or beat the paper results training the medium models. I'm still working on large and improving the small result. They appear to be solid models for on-device use.

https://huggingface.co/collections/timm/mobilenetv4-pretrained-weights-6669c22cda4db4244def9637

https://huggingface.co/papers/2404.10518
🔥
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Kyle Wascher
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