/DASR

Primary LanguagePython

The implementation of [DASR]

Version info: pytorch 2.0.0, python 3.9

Steps

Modify: Define your path in configs/dasr.yaml

Choose: Choose parameter in configs/dasr.yaml

parameter explanation
detect_mode Run single pic or dataset
feature_save Whether to save feature data
plt_mode Whether to show / save result by plt
display_mode Display result by bounding box or response map
dataset Run which dataset
transform_mode Normalize by different mean and std
model_select Process query or reference
use_nms Whether to use nms
use_DASR* Whether to use dasr*
use_rank Whether to use rank
backbone Choose pre-train parameter for backbone
feature_map_pooling Whether to use pooling on feature map

Run:

python main.py 

Reference

@article{xiao2022deeply,
  title={Deeply activated salient region for instance search},
  author={Xiao, Hui-Chu and Zhao, Wan-Lei and Lin, Jie and Hong, Yi-Geng and Ngo, Chong-Wah},
  journal={ACM Transactions on Multimedia Computing, Communications and Applications},
  volume={18},
  number={3s},
  pages={1--19},
  year={2022},
  publisher={ACM New York, NY}
}

Publisher

Yi-Bo Miao Xiamen University