Program files:

• load_txt.py: Load the file from the origin_file folder and output the file in result folder.
• merge_file.py: Merge the different models' result.
• wlf.py: The realization of weight location fusion method.
• sort.sh : Sort the txt files by frame from merge_file folder.
• senet/hgwisenet.py：The Network structure of hgwisenet.

File folder sturcture:

• origin_file：The original files folder, subfolders are different models result.
• merge_file: Merge and sort the file from the origin_file folder.
• reuslt: The folder which saves the result files.

This is the official codes of the following paper. https://doi.org/10.1145/3460426.3463654

@inproceedings{sun2021squeeze,
  title={Squeeze-and-Excitation network-Based Radar Object Detection With Weighted Location Fusion},
  author={Sun, Pengliang and Niu, Xuetong and Sun, Pengfei and Xu, Kele},
  booktitle={Proceedings of the 2021 International Conference on Multimedia Retrieval},
  pages={545--552},
  year={2021}
}

Ensemble of the models. SeNet-based rader detection model.