DUT-IIAU-OIP-Lab / CVPR_SSF-RGBD

codes of SSF_RGBD

CVPR_SSF-RGBD

codes of SSF_RGBD

Accepted paper in CVPR2020, '', Miao Zhang, Weisong Ren, Yongri Piao, Zhengkun Rong and Huchuan Lu.

Usage Instructions

Requirements

• Windows 10
• PyTorch 0.4.1
• CUDA 9.0
• Cudnn 7.6.0
• Python 3.6.5
• Numpy 1.16.4

Training and Testing Datasets

Training dataset: * download_link codes：5fms. || Test dataset: * download_link codes：a934.

Testing

• Download pretrained model from * download_link codes：8zw8.
• Modify your path of testing dataset in test.py
• Run test.py to inference saliency maps

Results

• Saliency maps generated from the model can be downnloaded from:

• DUT-RGBD code：w92o ||* NLPR codes：c9rw ||* NJUD code：ufun ||* STEREO code: hhkb ||* LFSD code：d86o ||* RGBD-135 code: v975

Contact and Questions

Contact: Weisong Ren. Email: [e-mail].