mmpretrain/configs/vgg

Very Deep Convolutional Networks for Large-Scale Image Recognition

Introduction

[BACKBONE]

@article{simonyan2014very,
  title={Very deep convolutional networks for large-scale image recognition},
  author={Simonyan, Karen and Zisserman, Andrew},
  journal={arXiv preprint arXiv:1409.1556},
  year={2014}
}

Results and models

ImageNet

Model	Params(M)	Flops(G)	Top-1 (%)	Top-5 (%)	Config	Download
VGG-11	132.86	7.63	69.03	88.63	config	model*
VGG-13	133.05	11.34	69.93	89.26	config	model*
VGG-16	138.36	15.5	71.59	90.39	config	model*
VGG-19	143.67	19.67	72.38	90.88	config	model*
VGG-11-BN	132.87	7.64	70.37	89.81	config	model*
VGG-13-BN	133.05	11.36	71.55	90.37	config	model*
VGG-16-BN	138.37	15.53	73.36	91.5	config	model*
VGG-19-BN	143.68	19.7	74.24	91.84	config	model*