The official repo of the paper
Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection.
create enviroment and intall as following:
pip install -r requirements.txt
testset: CoCA, CoSOD3k, Cosal2015
DCFM ├── other codes ├── ... │ └── data ├── CoCo-SEG (CoCo-SEG's image files) ├── CoCA (CoCA's image files) ├── CoSOD3k (CoSOD3k's image files) └── Cosal2015 (Cosal2015's image files)
trained model can be downloaded from papermodel.
test.py for inference.
The evaluation tool please follow: https://github.com/zzhanghub/eval-co-sod
Download pretrainde backbone model VGG.
train.py for training.
The co-saliency maps of DCFM can be found at preds.
reprodution by myself on TITAN X can be found at reproduction3.
The code is based on GCoNet. I've added a validation part to help select the model for closer results. This validation part is based on GCoNet_plus. You can try different evaluation metrics to select the model.