@inproceedings{8065df69ee91427b8e51e1c4947bfae9,
title = "Weighted Pyramid Network for Foreign Object Debris Detection on Airfield Pavement",
abstract = "In this paper, a novel network architecture Weighted Pyramid Network (WPN) is proposed to detect foreign object debris (FOD) on airfield pavement. WPN is a region-based algorithm and it produces region proposals from multi-scale layers with different ratio. Fed to fully-connected layer, these multi-scale proposals are exacted to the same size by undergoing a RoIAlign layer. Moreover, Finetune Loss is designed in WPN to concentrate the model on hard examples and this practice improves the efficiency of training a lot. In the end, compared to some popular object detection network, WPN is proved to achieve better result for FOD detection on airfield pavement.",
keywords = "Finetune Loss, Foreign Object Debris, Object Detection, RoIAlign, Weighted Pyramid Network",
author = "Maji Huang and Xiaoguang Cao and Xiangzhi Bai and Yufeng Gu",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 14th IEEE International Conference on Signal Processing, ICSP 2018 ; Conference date: 12-08-2018 Through 16-08-2018",
year = "2019",
month = feb,
day = "2",
doi = "10.1109/ICSP.2018.8652402",
language = "英语",
series = "International Conference on Signal Processing Proceedings, ICSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "625--628",
editor = "Yuan Baozong and Ruan Qiuqi and Zhao Yao and An Gaoyun",
booktitle = "2018 14th IEEE International Conference on Signal Processing Proceedings, ICSP 2018",
address = "美国",
}