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A MobileNet-V4 image classification model. Trained on ImageNet-1k by Ross Wightman. Trained with `timm` scripts using hyper-parameters inspired by the MobileNet-V4 paper with `timm` enhancements. NOTE: So far, these are the only known MNV4 weights. Official weights for Tensorflow models are unreleased.
A MobileNet-V4 image classification model. Trained on ImageNet-1k by Ross Wightman. Trained with `timm` scripts using hyper-parameters inspired by the MobileNet-V4 paper with `timm` enhancements. NOTE: So far, these are the only known MNV4 weights. Official weights for Tensorflow models are unreleased.
A MobileNet-V4 image classification model. Trained on ImageNet-1k by Ross Wightman. Trained with `timm` scripts using hyper-parameters inspired by the MobileNet-V4 paper with `timm` enhancements. NOTE: So far, these are the only known MNV4 weights. Official weights for Tensorflow models are unreleased.
A MobileNet-V4 image classification model. Trained on ImageNet-1k by Ross Wightman. Trained with `timm` scripts using hyper-parameters inspired by the MobileNet-V4 paper with `timm` enhancements. NOTE: So far, these are the only known MNV4 weights. Official weights for Tensorflow models are unreleased.
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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- **Model Type:** Image classification / feature backbone - **Model Stats:** - Params (M): 5.6 - GMACs: 2.0 - Activations (M): 19.9 - Image size: 256 x 256 - **Papers:** - MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer: https://arxiv.org/abs/2110.02178 - **Original:** https://github.com/apple/ml-cvnets - **Dataset:** ImageNet-1k Explore the dataset and runtime metrics of this model in timm model results.
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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