README.md

Adaptive-intra-group-feature-aggregation

The official repo of the ICASSP 2022 paper Adaptive Intra-Group Aggregation for Co-Saliency Detection .

Data Format

Put the DUTS_class (training dataset from GICD), CoCA, CoSOD3k and Cosal2015 datasets to ./data as the following structure:

AIGANet
   ├── other codes
   ├── ...
   │ 
   └── data
         ├──── images
         |       ├── DUTS_class (DUTS_class's image files)
         |       ├── CoCA (CoCA's image files)
         |       ├── CoSOD3k (CoSOD3k's image files)
         │       └── Cosal2015 (Cosal2015's image files)
         │ 
         └────── gts
                  ├── DUTS_class (DUTS_class's Groundtruth files)
                  ├── CoCA (CoCA's Groundtruth files)
                  ├── CoSOD3k (CoSOD3k's Groundtruth files)
                  └── Cosal2015 (Cosal2015's Groundtruth files)

Usage

Run sh all.sh for training (train_GPU0.sh) and testing (test.sh).

Citation

@inproceedings{ren2022adaptive,
title={Adaptive Intra-Group Aggregation for Co-Saliency Detection},
author={Ren, Guangyu and Dai, Tianhong and Stathaki, Tania},
booktitle={ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages={2520--2524},
year={2022},
organization={IEEE}
}