Python-MobileNetV3的PyTorch实现提供预训练的模型

# A PyTorch implementation of MobileNetV3 I make a mistake to forget the avgpool in se model, now I have re-trained the mbv3_small, the mbv3_large is on training, it will be coming soon. You should use torch.load to load the model. ``` model = torch.load("mbv3_large.old.pth.tar", map_location='cpu') weight = model["state_dict"] ``` This is a PyTorch implementation of MobileNetV3 architecture as described in the paper [Searching for MobileNetV3](https://arxiv.org/pdf/1905.02244.pdf). Some details may be different from the original paper, welcome to discuss and help me figure it out. ### MobileNetV3 | | Madds | Parameters | Top1-acc | | ----------- | --------- | ---------- | --------- | | Large | 219 M | 5.4 M | 75.2% | | Small | 66 M | 2.9 M | 67.4% | | Ours Large old | 272 M | 3.96 M | 75.454% | | Ours Small old | 66 M | 2.51 M | 69.069% | | Ours Large new | 265 M | 3.96 M | | | Ours Small new | 64 M | 2.51 M | 69.037% |