cvpr_ssf-rgbd's Introduction

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: [email protected].

cvpr_ssf-rgbd's People

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cvpr_ssf-rgbd's Issues

About the SIP SalMap

The results of the paper are not complete, such as "SIP" datasets. Can you send me their saliency maps, let me measure the relevant indicators.

where are the data

results of STEREO and RGBD135

Results of STEREO and RGBD135 are unavailable, can you update?

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