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LFTransNet: Light Field Salient Object Detection via a Learnable Weight Descriptor

The paper has been accepted by IEEE Transactions on Circuits and Systems for Video Technology. https://ieeexplore.ieee.org/document/10138590

DOI:10.1109/TCSVT.2023.3281465

Training Set and Testing Set

链接：https://pan.baidu.com/s/1xKowe-mUi8FATLMXX9WMSg 提取码：t3pr

PVT Parameters

链接：https://pan.baidu.com/s/10JVtKkJSHknY83Nijjm5kw 提取码：g2od

Model Parameters

链接：https://pan.baidu.com/s/1X_d7-lAcmhuH7J0MBiapBw 提取码：yo1k

Result Saliency Maps

链接：https://pan.baidu.com/s/19sIc9VAY46Zt-rJilMaazA 提取码：94xe

Evaluation Code

链接：https://pan.baidu.com/s/1X8pCyFCUIjQT_8Rbndk4Mw 提取码：qw5p

Citation

If you find the information useful, please consider citing:

@article{liu2023,
  author={Liu, Zhengyi and He, Qian and Wang, Linbo and Fang, Xianyong and Tang Bin},
  journal={IEEE Transactions on Circuits and Systems for Video Technology}, 
  title={LFTransNet: Light Field Salient Object Detection via a Learnable Weight Descriptor}, 
  pages={1--10},
  year={2023}}

If you have any question, please email liuzywen@ahu.edu.cn