资源分类
》 资源 》算法》Models from the BMVC-2014 paper

Models from the BMVC-2014 paper

2019-09-20 | |  74 |   0 |   0

The models are trained on the ILSVRC-2012 dataset. The details can be found on the project page or in the following BMVC-2014 paper:

Return of the Devil in the Details: Delving Deep into Convolutional Nets
K. Chatfield, K. Simonyan, A. Vedaldi, A. Zisserman
British Machine Vision Conference, 2014 (arXiv ref. cs1405.3531)

Please cite the paper if you use the models.

Models:
* VGG_CNN_S: 13.1% top-5 error on ILSVRC-2012-val
* VGG_CNN_M: 13.7% top-5 error on ILSVRC-2012-val
* VGG_CNN_M_2048: 13.5% top-5 error on ILSVRC-2012-val
* VGG_CNN_M_1024: 13.7% top-5 error on ILSVRC-2012-val
* VGG_CNN_M_128: 15.6% top-5 error on ILSVRC-2012-val
* VGG_CNN_F: 16.7% top-5 error on ILSVRC-2012-val

无链接

上一篇：Network in Network model

下一篇：Models used by the VGG team in ILSVRC-2014

用户评价
全部评价

热门资源

  • TensorFlow-Course

    This repository aims to provide simple and read...

  • seetafaceJNI

    项目介绍 基于中科院seetaface2进行封装的JAVA...

  • mxnet_VanillaCNN

    This is a mxnet implementation of the Vanilla C...

  • DuReader_QANet_BiDAF

    Machine Reading Comprehension on DuReader Usin...

  • Klukshu-Sockeye-...

    KLUKSHU SOCKEYE PROJECTS 2016 This repositor...