Awesome
SH-Net
https://link.springer.com/article/10.1007/s10489-022-04014-0
Requirements
Install Pytorch.
Training data
The training data can be downloaed from (EORSSD) Dataset. Our edge map from: https://github.com/yun-liu/rcf.
Pretrained weights for backbone
The pretrianed weight for backbone can be downloaded from [VGG16].(BaiduNetDisk:https://pan.baidu.com/s/1hbIShLB-iYuRXy59iVvg8g extract code:msrp).
Test Model
- Modify the testing image path accordingly.
- You need to get the test images (BaiduNetDisk:https://pan.baidu.com/s/1u8W5iGMPFnQCdhaV1d6FHw extract code:6h6e).
- Run ./test.py
Visualization
Code in visual.py helps generate visualization.
You can find our results on EORSSD and ORSSD dataset here: BaiduNetDisk:https://pan.baidu.com/s/1DG35rlwtWV8RBJnNTnzALQ extract code:k9c4
You can find our visual results on EORSSD and ORSSD dataset here: BaiduNetDisk: https://pan.baidu.com/s/15d2r_EJ_YHCRrmSXpGrM2g extract code:n1ce
Acknowledgement
Many thanks to [Weakly-Supervised Salient Object Detection via Scribble Annotations] https://github.com/JingZhang617/Scribble_Saliency.