IFENet

This repo is an official implementation of the IFENet. IFENet: Interaction, Fusion, and Enhancement network for VDT Salient Object Detection. IEEE Transactions on Image Processing (2025).

Prerequisites

Usage

1. Clone the repository

2. Training

Download the pretrained model swin_base_patch4_window12_384_22k.pth.
Download the edge Ground Truth of the training set of VDT-2048 dataset here (fetch code: u450) and put it on the training set folder.

You can train the model by using

python Train.py

3. Testing

python Test.py

4. Evaluation

• We provide saliency maps (fetch code: k3qe) of our IFENet on VDT-2048 dataset.
• The edge Ground Truth of the training set of VDT-2048 dataset can be download here (fetch code: u450)

Citation

@article{bao2025ifenet,
  title={IFENet: Interaction, Fusion, and Enhancement network for VDT Salient Object Detection},
  author={Bao, Liuxin and Zhou, Xiaofei and Zheng, Bolun and Cong, Runmin and Yin, Haibing and Zhang, Jiyong and Yan, Chenggang},
  journal={IEEE Transactions on Image Processing},
  year={2025},
  publisher={IEEE}
}

• If you have any questions, feel free to contact us via: [email protected] or [email protected].