Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 3, 472(2025)

Object detection method for aerial images based on adaptive slicing aided inference

Liwei JIN1, Wangming XU1,2、*, and Yaoxiang LI1
Author Affiliations
  • 1School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
  • 2Engineering Research Center for Metallurgical Automation and Detecting Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China
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    References(15)

    [2] OUYANG Q, ZHANG Y, MA Y et al. A review of UAV aerial photography target detection and tracking methods based on deep learning[J]. Electronics Optics & Control, 31, 1-7(2024).

    [10] VERMA T, SINGH J, BHARTARI Y et al. SOAR: Advancements in small body object detection for aerial imagery using state space models and programmable gradients[J/OL](2024).

    [11] REKAVANDI A M, RASHIDI S, BOUSSAID F et al. Transformers in small object detection: a benchmark and survey of state-of-the-art[J/OL](2023).

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    Liwei JIN, Wangming XU, Yaoxiang LI. Object detection method for aerial images based on adaptive slicing aided inference[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(3): 472

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    Paper Information

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    Received: Aug. 4, 2024

    Accepted: --

    Published Online: Apr. 27, 2025

    The Author Email: Wangming XU (xuwangming@wust.edu.cn)

    DOI:10.37188/CJLCD.2024-0225

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