Recent advances in drone-view object detection-Reference-Cited by-同舟云学术

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Recent advances in drone-view object detection

Published:2023 Issue:9 Volume:28 Page:2563-2586
ISSN:1006-8961
Container-title:Journal of Image and Graphics
language:en
Short-container-title:

Author:

Jiaxu Leng, ,Mengjingcheng Mo,Yinghua Zhou,Yongming Ye,Chenqiang Gao,Xinbo Gao

Publisher

Aerospace Information Research Institute, Chinese Academy of Sciences

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Human-Computer Interaction

Reference143 articles.

1. Abdelfattah R,Wang X F and Wang S. 2021. TTPLA:an aerial-image dataset for detection and segmentation of transmission towers and power lines//Proceedings of the 15th Asian Conference on Computer Vision. Kyoto,Japan:Springer:601-618[DOI:10.1007/978-3-030-69544-6_36]

2. Adaimi G,Kreiss S and Alahi A. 2020. Perceiving traffic from aerial images[EB/OL].[2022-06-08].https://arxiv.org/pdf/2009.07611.pdf

3. Adelson E H,Anderson C H,Bergen J R,Burt P J and Ogden J M. 1984. Pyramid methods in image processing. RCA Engineer, 29(6):33-41

4. Albaba B M and Ozer S. 2021. SyNet:an ensemble network for object detection in UAV images//Proceedings of the 25th International Conference on Pattern Recognition. Milan,Italy:IEEE:10227-10234[DOI:10.1109/ICPR48806.2021.9412847]

5. Amudhan A N and Sudheer A P. 2022. Lightweight and computationally faster hypermetropic convolutional neural network for small size object detection. Image and Vision Computing,119:#104396[DOI:10.1016/j.imavis.2022.104396]

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3. Enhancing Vehicle Detection in Aerial Images Through Improved YOLOv8;2024 4th Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS);2024-02-24

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