Skip to content
No description, website, or topics provided.
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
README.md

README.md

Towards High-Resolution Salient Object Detection

Introduction

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

Datasets

HRSOD Download 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 ToHR 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}
}
You can’t perform that action at this time.