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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

Download our code into your computer
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.
Make caffe & matcaffe
```
 make all -j  
 make matcaffe -j  
```
Download pretrained caffemodel from baidu yun and put the file under the root directory HRSOD-master/.
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}
}