Foreign Object Debris Detection for Airport Pavement Images Based on Self-Supervised Localization and Vision Transformer

Author:

Munyer Travis1,Brinkman Daniel1,Zhong Xin1,Huang Chenyu2,Konstantzos Iason3

Affiliation:

1. University of Nebraska Omaha,Department of Computer Science,Omaha,NE,USA

2. Aviation Institute, University of Nebraska Omaha,Omaha,NE,USA

3. Durham School of Architectural Engineering and Construction, University of Nebraska Lincoln,Lincoln,NE,USA

Funder

National Science Foundation

Publisher

IEEE

Reference16 articles.

1. Feasibility Assessment of sUAS-Based Automated FOD Detection System

2. SSD: Single shot multibox detector;liu;Computer Vision - ECCV 2016,2016

3. Reducing the Dimensionality of Data with Neural Networks

4. YOLOv3: An Incremental Improvement;redmon;ArXiv e-prints,2018

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