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* add mytrain.py for test

* test before layers

* test attr in layers

* test classifier

* delete mytrain.py

* add mobilenet_v3.yml

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* rename model_zoo.yml to model-index.yml

* replace imagenet with imagenet-1k

2021-07-01 20:50:42 +08:00

metafile.yml

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2021-07-01 20:50:42 +08:00

README.md

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2021-04-28 17:08:57 +08:00

shufflenet_v1_1x_b64x16_linearlr_bn_nowd_imagenet.py

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2020-12-18 16:59:50 +08:00

README.md

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

Introduction

@inproceedings{zhang2018shufflenet,
  title={Shufflenet: An extremely efficient convolutional neural network for mobile devices},
  author={Zhang, Xiangyu and Zhou, Xinyu and Lin, Mengxiao and Sun, Jian},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={6848--6856},
  year={2018}
}

Results and models

ImageNet

Model	Params(M)	Flops(G)	Top-1 (%)	Top-5 (%)	Config	Download
ShuffleNetV1 1.0x (group=3)	1.87	0.146	68.13	87.81	config	model \| log