资源分类
》 资源 》算法》PointCNN.MX

PointCNN.MX

2019-09-19 | |  51 |   0 |   0

PointCNN.MX

This is a MXNet implementation of PointCNN. It is as efficent as the origin Tensorflow implemetation and achieves same accuracy on both classification and segmentaion jobs. See the following references for more information:

"PointCNN"
Yangyan Li, Rui Bu, Mingchao Sun, Baoquan Chen
arXiv preprint arXiv:1801.07791, 2018.

https://arxiv.org/abs/1801.07791

Usage

We've tested code on MNIST only.

python ./download_datasets.py -d mnist -f ./python ./prepare_mnist_data.py -f ./mnist/zipspython ./pointcnn_cls.py

License

Our code is released under MIT License (see LICENSE file for details).


上一篇：Tiny Face (w/ training)

下一篇：siamese

用户评价
全部评价

热门资源

  • seetafaceJNI

    项目介绍 基于中科院seetaface2进行封装的JAVA...

  • spark-corenlp

    This package wraps Stanford CoreNLP annotators ...

  • Keras-ResNeXt

    Keras ResNeXt Implementation of ResNeXt models...

  • capsnet-with-caps...

    CapsNet with capsule-wise convolution Project ...

  • inferno-boilerplate

    This is a very basic boilerplate example for pe...