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Weighted Pyramid Network for Foreign Object Debris Detection on Airfield Pavement

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.