| # EGNet | |
| EGNet:Edge Guidance Network for Salient Object Detection (ICCV 2019) | |
| We use the sal2edge.m to generate the edge label for training. | |
| ### For training: | |
| 1. Clone this code by `git clone https://github.com/JXingZhao/EGNet.git --recursive`, assume your source code directory is`$EGNet`; | |
| 2. Download [training data](https://pan.baidu.com/s/1LaQoNRS8-11V7grAfFiHCg) (fsex) ([google drive](https://drive.google.com/open?id=1wduPbFMkxB_3W72LvJckD7N0hWbXsKsj)); | |
| 3. Download [initial model](https://pan.baidu.com/s/1dD2JOY_FBSLzjp5tUPBDBQ) (8ir7) ([google_drive](https://drive.google.com/open?id=1q7FtHWoarRzGNQQXTn9t7QSR8jJL8vk6)); | |
| 4. Change the image path and intial model path in run.py and dataset.py; | |
| 5. Start to train with `python3 run.py --mode train`. | |
| ### For testing: | |
| 1. Download [pretrained model](https://pan.baidu.com/s/1s35ZyGDSNVzVIeVd7Aot0Q) (2cf5) ([google drive](https://drive.google.com/open?id=17Ffc6V5EiujtcFKupsJXhtlQ3cLK5OGp)); | |
| 2. Change the test image path in dataset.py | |
| 3. Generate saliency maps for SOD dataset by `python3 run.py --mode test --sal_mode s`, PASCALS by `python3 run.py --mode test --sal_mode p` and so on; | |
| 4. Testing code we use is the public open source code. (https://github.com/Andrew-Qibin/SalMetric) | |
| ### Pretrained models, datasets and results: | |
| | [Page](https://mmcheng.net/jxzhao/) | | |
| | [Training Set](https://pan.baidu.com/s/1LaQoNRS8-11V7grAfFiHCg) (fsex) ([google drive](https://drive.google.com/open?id=1wduPbFMkxB_3W72LvJckD7N0hWbXsKsj)) | | |
| | [Pretrained models](https://pan.baidu.com/s/1s35ZyGDSNVzVIeVd7Aot0Q) (2cf5) | | |
| | [Saliency maps](https://pan.baidu.com/s/1M_dqPJ08oaYWge_zZnHSTQ) (54gi) ([google drive VGG](https://drive.google.com/open?id=1WEuEqNmqMePyxD8anGo0KA4rWK9Nyb9I)) ([google drive resnet](https://drive.google.com/open?id=1h5R8tT3Jq_2S3pLfXREpuWaKvFphQ4K9)) | | |
| ### If you think this work is helpful, please cite | |
| ```latex | |
| @inproceedings{zhao2019EGNet, | |
| title={EGNet:Edge Guidance Network for Salient Object Detection}, | |
| author={Zhao, Jia-Xing and Liu, Jiang-Jiang and Fan, Deng-Ping and Cao, Yang and Yang, Jufeng and Cheng, Ming-Ming}, | |
| booktitle={The IEEE International Conference on Computer Vision (ICCV)}, | |
| month={Oct}, | |
| year={2019}, | |
| } | |
| ``` | |
| ### Other related work | |
| Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection. (CVPR2019) [page](https://mmcheng.net/rgbdsalpyr/) | |