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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 * fix ymal * rename model_zoo.yml to model-index.yml * replace imagenet with imagenet-1k
Shufflenet v2: Practical guidelines for efficient cnn architecture design
Introduction
@inproceedings{ma2018shufflenet,
title={Shufflenet v2: Practical guidelines for efficient cnn architecture design},
author={Ma, Ningning and Zhang, Xiangyu and Zheng, Hai-Tao and Sun, Jian},
booktitle={Proceedings of the European conference on computer vision (ECCV)},
pages={116--131},
year={2018}
}
Results and models
ImageNet
Model | Params(M) | Flops(G) | Top-1 (%) | Top-5 (%) | Config | Download |
---|---|---|---|---|---|---|
ShuffleNetV2 1.0x | 2.28 | 0.149 | 69.55 | 88.92 | config | model | log |