GFRNet

Official code repository for paper Guided Focal Stack Refinement Network for Light Field Salient Object Detection (ICME2023). Coming soon!

Overall Architecture

Overall architecture of the proposed GFRNet.

Inference

Download the pretrained model at Baidu Driver (PSW: xmhu).

Generate saliency maps:

• Run python test.py

Results

Quantitative Results. The best result is highlighted in bold. “N/T” denotes unavailable results. ↑/↓ means that a larger/smaller value is better.

Download

The saliency maps can be download from Baidu Driver (PSW: 1iuf).

Citation

Please cite the following paper if you use this repository in your research:

@inproceedings{yuan2023guided,
  title={Guided focal stack refinement network for light field salient object detection},
  author={Yuan, Bo and Jiang, Yao and Fu, Keren and Zhao, Qijun},
  booktitle={2023 IEEE International Conference on Multimedia and Expo (ICME)},
  pages={2387--2392},
  year={2023},
  organization={IEEE}
}

Any questions regarding this work can contact yuanboera@qq.com.