基于UVA航拍图像的目标检测算法研究

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC) Pub Date : 2021-11-17 DOI:10.1109/IC-NIDC54101.2021.9660571

Huan Liu, Chengpo Mu, Ruixin Yang, Yang He, Nan Wu

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引用次数: 2

摘要

本文提出了一种新的目标检测网络来处理UVA航拍图像。该检测网络基于单级目标检测算法，并通过跨相部分连接模块减少了网络的计算量。资源消耗使得网络更轻量化，通过多尺度特征融合，提高了我们提出的网络对小目标的检测能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on Object Detection Algorithm Based on UVA Aerial Image

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.

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来源期刊

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)

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