A MobileNet-v3 image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman. - **Model Type:** Image classification / feature backbone - **Model Stats:** - Params (M): 2.0 - GMACs: 0.1 - Activations (M): 1.4 - Image size: 224 x 224 - **Papers:** - Searching for MobileNetV3: https://arxiv.org/abs/1905.02244 - **Dataset:** ImageNet-1k - **Original:** https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet Explore the dataset and runtime metrics of this model in timm model results.
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A TinyViT image classification model. Pretrained on ImageNet-22k with distillation by paper authors.
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A TinyViT image classification model. Pretrained on ImageNet-22k with distillation and fine-tuned on ImageNet-1k by paper authors.
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tinynet_a.in1k
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tinynet_b.in1k
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tinynet_c.in1k
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tinynet_d.in1k
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tinynet_e.in1k
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