@inproceedings{9f3514d2e4e64c0faa36caf90dcaba07,
title = "Research on Object Detection Algorithm Based on UVA Aerial Image",
abstract = "In this paper a new object detection network is proposed to process UVA aerial images. The detection network based on single-stage object detection algorithm, and reduces the calculation of the network through cross phase partial connection modules. Resource consumption makes the network lighter, through multi-scale feature fusion, the ability to detect small objects of the network we proposed is improved.",
keywords = "Aerial images, Convolution neural network, Feature Fusion, Object detection, Residual Network",
author = "Huan Liu and Chengpo Mu and Ruixin Yang and Yang He and Nan Wu",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 7th IEEE International Conference on Network Intelligence and Digital Content, IC-NIDC 2021 ; Conference date: 17-11-2021 Through 19-11-2021",
year = "2021",
doi = "10.1109/IC-NIDC54101.2021.9660571",
language = "English",
series = "Proceedings of 2021 7th IEEE International Conference on Network Intelligence and Digital Content, IC-NIDC 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "122--127",
booktitle = "Proceedings of 2021 7th IEEE International Conference on Network Intelligence and Digital Content, IC-NIDC 2021",
address = "United States",
}