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SDCFusion

The project is being continuously updated

Recommended Environment

  • torch 1.10.0
  • cudatoolkit 11.3.1
  • torchvision 0.11.0
  • kornia 0.6.5
  • pillow 8.3.2

Test

python test_Fusion.py --dataroot=XXX --dataset_name=XXX --resume=./results/SDCFusion/XXX.pth

Train

python train.py --dataroot=XXX --name=SDCFusion

The code references the following article:

@article{TANG202228SeAFusion, title = {Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network}, journal = {Information Fusion}, volume = {82}, pages = {28-42}, year = {2022}, issn = {1566-2535} }

@article{TANG2023PSFusion, title={Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visible image fusion network based on progressive semantic injection and scene fidelity}, author={Tang, Linfeng and Zhang, Hao and Xu, Han and Ma, Jiayi}, journal={Information Fusion}, volume = {99}, pages = {101870}, year={2023}, }

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