mmclassification/configs/vgg

Very Deep Convolutional Networks for Large-Scale Image Recognition

Introduction

@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	68.75	88.87	config	model | log
VGG-13	133.05	11.34	70.02	89.46	config	model | log
VGG-16	138.36	15.5	71.62	90.49	config	model | log
VGG-19	143.67	19.67	72.41	90.80	config	model | log
VGG-11-BN	132.87	7.64	70.75	90.12	config	model | log
VGG-13-BN	133.05	11.36	72.15	90.71	config	model | log
VGG-16-BN	138.37	15.53	73.72	91.68	config	model | log
VGG-19-BN	143.68	19.7	74.70	92.24	config	model | log