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Official PyTorch implementation of the paper ‘Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection’ (TCSVT'2021)

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MMNet-PyTorch (TCSVT, 2021)

Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection. PDF

Requirements

• Pytorch 1.3.0+
• Torchvision
• PIL
• Numpy

Results

• Saliency maps mentioned in the paper can be download from here [code: h66a]
• The saliency results can be evaluated by using the tool in Matlab

Citation

Please cite our paper if you use this repository in your reseach.

@ARTICLE{MMNet_TCSVT2021,
  author={Gao, Wei and Liao, Guibiao and Ma, Siwei and Li, Ge and Liang, Yongsheng and Lin, Weisi},
  journal={IEEE Transactions on Circuits and Systems for Video Technology}, 
  title={Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection}, 
  year={2022},  
  volume={32},
  number={4},
  pages={2091-2106},
  }

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Official PyTorch implementation of the paper ‘Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection’ (TCSVT'2021)

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