For RGBD salient object detection, the paper has benn accepted at icme2018 and the paper link is here
Baidu Yun: https://pan.baidu.com/s/1rGXSTxtU8iNQa7FPGP83Wg password: 9hbq
with deep channel: https://pan.baidu.com/s/1Uu03Z_1R6_9BpSZfOzK31g password: cpe8
modify the test.py file.(I am sorry for forgetting that)
Google drive: https://drive.google.com/open?id=18yXaBAeG_6qFuk4wyViSWiEXog5ctabM
The pre-trained model based on MSRA10k and DUTS-TR datasets, which contain about 20k pictures.
Download the dataset, for example, MSRA10k, and run the preprocess script
python preprocess.py
then run
python train.py
Download the pre-trained model and the test picture, run
python test.py
If you use this code. Please cite as:
PDNet: Prior-Model Guided Depth-enhanced Network for Salient Object Detection. Chunbiao Zhu, Xing Cai, Kan Huang, Thomas.H Li and Ge Li IEEE International Conference on Multimedia and Expo (ICME) 2018. or
@INPROCEEDINGS{PDNet2018,
author=
"Zhu, Chunbiao
and Cai, Xing
and Kan, Huang
and Thomas.H, Li
and Ge, Li",
booktitle={2018 International Conference on Multimedia and Expo},
title={PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detection},
year={2019},
}