资源分类
》 资源 》算法》mxnet-center-loss

mxnet-center-loss

2020-04-03 | |  119 |   0 |   0

MxNet implementation of the paper: A Discriminative Feature Learning Approach for Deep Face Recognition

Requirements

pip install -r requirements.txt

Training

  1. Train with original softmax

$ python main.py --train --prefix=softmax

  1. Train with softmax + center loss

$ python main.py --train --center_loss --prefix=center-loss

Test

  1. Test with original softmax

$ python main.py --test --prefix=softmax

  1. Test with softmax + center loss

$ python main.py --test --prefix=center-loss

Image

Comparison Accuracy curve:

图片.png

Softmax

Training:

softmax-train.gif

Testing:

softmax-test.gif

Softmax + Center Loss

Training:

center-train.gif

Testing:

center-test.gif

上一篇：Keras-MNIST-center-loss-with-visualization

下一篇：MNIST-center-loss

用户评价
全部评价

热门资源

  • allennlp-server

    allennlp-server Serve allennlp services as sep...

  • ubuntu-allennlp

    ubuntu-allennlp AllenAI AllenNLP image based o...

  • allennlp_extras

    allennlp_extras Some utilities build on top of...

  • allennlp-dureader

    An Apache 2.0 NLP research library, built on Py...

  • seetafaceJNI

    项目介绍 基于中科院seetaface2进行封装的JAVA...