DMNet-paddlepaddle

1.Introduction

Paddle implementation of Dynamic Multi-scale filters for Semantic Segmentation. Our team is computer vision(计算机幻觉).

Official Repository  | mmsegmentation version  | Paper

2.Results and models

2.1Cityscapes

The following results are from mmsegmentation version. Pretrained weighs can be downloaded from

R-101-D8 or baidu cloud   with code hhnn.

We only trained the Cityscapes dataset with backnone R-101-D8,the results:

3.Quick start

3.1Prerequisites

• Linux
• Python 3.6+
• Paddlepaddle
• CUDA 10.0+
• GCC 5+

3.2Installation

a.Install dependencies

pip install -r requestments.txt

License

This project is released under the Apache 2.0 license.

Contributing

@Hongqiang.Wang

@luyuxuan

Citation

@InProceedings{He_2019_ICCV,
author = {He, Junjun and Deng, Zhongying and Qiao, Yu},
title = {Dynamic Multi-Scale Filters for Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
year = {2019}
}