Acta Photonica Sinica, Volume. 50, Issue 11, 1110001(2021)

An Infrared Object Detection Method Based on Cross-domain Fusion Network

Ming ZHAO1,2 and Haoran ZHANG1、*
Author Affiliations
  • 1College of Information Engineering,Shanghai Maritime University,Shanghai 201306,China
  • 2Key Laboratory of Intelligent Infrared Perception,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China
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    References(27)

    [2] Xiang YI, Bingjian WANG. Fast infrared and dim target detection algorithm based on multi-feature. Acta Photonica Sinica, 46, 0610002(2017).

    [3] Guoqiang ZHU, Xiangyong MENG, Weixian QIAN. Infrared small target detection method based on curvature near the ground. Acta Photonica Sinica, 47, 1010001(2018).

    [5] A KRIZHEVSKY, I SUTSKEVER, G E HINTON. Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems, 25, 1097-1105(2012).

    [18] J WAGNER, V FISCHER, M HERMAN et al. Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks, 587, 509-514(2016).

    [27] C LI, W XIA, Y YAN et al. Segmenting objects in day and night: Edge-conditioned cnn for thermal image semantic segmentation. IEEE Transactions on Neural Networks and Learning Systems, 47, 1110001(2020).

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    Ming ZHAO, Haoran ZHANG. An Infrared Object Detection Method Based on Cross-domain Fusion Network[J]. Acta Photonica Sinica, 2021, 50(11): 1110001

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    Paper Information

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    Received: Apr. 30, 2021

    Accepted: Jul. 1, 2021

    Published Online: Dec. 2, 2021

    The Author Email: ZHANG Haoran (hhhxl_zhr@163.com)

    DOI:10.3788/gzxb20215011.1110001

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