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CMake 1.18% Makefile 0.28% Dockerfile 0.03% HTML 0.08% CSS 0.10% Jupyter Notebook 57.67% C++ 33.36% Shell 0.28% Python 3.93% Cuda 2.55% MATLAB 0.54%

hrsod's Introduction

Towards High-Resolution Salient Object Detection

Introduction

This package contains the source code for Towards High-Resolution Salient Object Detection, ICCV2019.

Datasets

HRSOD [Google Drive] [Baidu Yun](For the link of Baidu Yun, images of HRSOD-Training are splited into two parts just because of single file size limitation.)
DAVIS-S Download

Pre-computed Saliency Maps

Saliency maps of this paper along with compared state-of-the-art methods can be can be downloaded
HRSOD
DAVIS-S

More saliency maps of this paper on widely used benchmarks can be downloaded
THUR
HKU-IS
DUTS-Test
PASCAL-S
DUT-OMRON
ECSSD
HRSOD
DAVIS-S

Source Code

Usage

  1. Download our code into your computer

  2. Cd to HRSOD-master/caffe-master, follow the official instructions to build caffe. The code has been tested successfully on Ubuntu 14.04 with CUDA 8.0.

  3. Make caffe & matcaffe

     make all -j  
     make matcaffe -j  
    
  4. Download pretrained caffemodel from baidu yun and put the file under the root directory HRSOD-master/.

  5. Change parameters in init_iccv19_demo.m and then run test_iccv19_demo.m to get the saliency maps. The results will be saved in HRSOD-master/results/.

Citation

If you find our works useful in your research, please consider citing:

@InProceedings{Zeng_2019_ICCV,
  author = {Zeng, Yi and Zhang, Pingping and Zhang, Jianming and Lin, Zhe and Lu, Huchuan},
  title = {Towards High-Resolution Salient Object Detection},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  month = {October},
  year = {2019}
}

hrsod's People

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hrsod's Issues

Can't download your code from Baidu servers

We are highly interested in your work but find your code inaccessible. Could you please instead upload all the scripts in this repository as navigating the Baidu skydrive is asking for memberships and unnecessary sign-ups. It would be a great help. Thanks!

关于论文中表3处理时间的问题?

谢谢你们做的贡献,我很喜欢你们的论文!这里关于处理时间或者说是帧率,我有几个问题,烦请赐教!
1、阅读论文后,表3中的Ours和Ours表示10241024和384*384的处理时间,请问分别是0.39秒一张和0.05秒一张,是吗?
换算为帧率即为2.564和20,请问我这样的理解对吗?

2、关于更大分辨率的图片,你们有进行测试吗,若有,他们的帧率是多少?

谢谢您的回答!!!

License for code and dataset?

Hi,

Thanks so much for your excellent paper. Is your data available for academic and/or commercial use? Can you add a license for the code and dataset? Please let me know.

make matcaffe -j failed

when i try run make matcaffe -j, it's failed
MEX matlab/+caffe/private/caffe_.cpp
/usr/local/MATLAB/R2015b/bin/mex: error while loading shared libraries: libmexcmd.so: cannot open shared object file: No such file or directory
Makefile:508: recipe for target 'matlab/+caffe/private/caffe_.mexa64' failed
make: *** [matlab/+caffe/private/caffe_.mexa64] Error 127

Train/Test Split List

Dear Authors,

Thanks for your great work!

Could you provide the train/test file list of 2010 files for training and testing on HRSOD?

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