Salient object detection in low contrast images via global convolution and boundary refinement (GCBR)
This repository contains the source code for the paper:
Nan Mu, Xin Xu, and Xiaolong Zhang, "Salient object detection in low contrast images via global convolution and boundary refinement", IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) Workshops
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The complete source code, which contains the training set, the pre-trained model, and the npy file of VGG-16, can be download from Google Drive Link: https://drive.google.com/open?id=1Y5luB_BMW7HQzp-XDWTD_1aP6NPbLGUM
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If you find our method useful in your research, please consider citing our papers "Salient object detection in low contrast images via global convolution and boundary refinement"
In case of any questions, please contact Nan Mu at nanmu@sicnu.edu.cn