Electronics Optics & Control, Volume. 30, Issue 11, -1(2023)

A Personalized Expert Recognition Algorithm for Long-Tailed Images

WU Lei1...2,3, HAN Hua1,2,3, HUANG Li1,2,3, and A.A.M.Muzahid1,23 |Show fewer author(s)
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  • 1[in Chinese]
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    References(6)

    [7] [7] ZHOU B Y, CUI Q, WEI X S, et al.BBN:bilateral-branch network with cumulative learning for long-tailed visual recognition[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.Seattle:IEEE, 2020:9719-9728.

    [8] [8] CUI J Q, LIU S, TIAN Z T, et al.ResLT:residual learning for long-tailed recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 45(3): 3695-3706.

    [9] [9] LI T H, WANG L M, WU G S.Self supervision to distillation for long-tailed visual recognition[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision.Montreal:IEEE, 2021:630-639.

    [10] [10] LIU Z W, MIAO Z Q, ZHAN X H, et al.Large-scale long-tailed recognition in an open world[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.Long Beach:IEEE, 2019:2537-2546.

    [11] [11] HORN G V, AODHA O M, SONG Y, et al.The inaturalist species classification and detection dataset[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Salt Lake City:IEEE, 2018:8769-8778.

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    WU Lei, HAN Hua, HUANG Li, A.A.M.Muzahid. A Personalized Expert Recognition Algorithm for Long-Tailed Images[J]. Electronics Optics & Control, 2023, 30(11): -1

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    Paper Information

    Received: Nov. 26, 2022

    Accepted: --

    Published Online: Jan. 20, 2024

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2023.11.010

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