Modified YOLOv5 for small target detection in aerial images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17625-7.pdf
Reference40 articles.
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3. Tan M, Le QV (2020) EfficientNet: rethinking model scaling for convolutional neural networks
4. Xia G-S, Bai X, Ding J, Zhu Z, Belongie S, Luo J, Datcu M, Pelillo M, Zhang L (2018) Dota: a large-scale dataset for object detection in aerial images. In: 2018 IEEE/CVF conference on computer vision and pattern recognition, pp 3974–3983. https://doi.org/10.1109/CVPR.2018.00418
5. Du D, Zhu P et al (2019) Visdrone-det2019: the vision meets drone object detection in image challenge results. In: 2019 IEEE/CVF international conference on computer vision workshop (ICCVW), pp 213–226. https://doi.org/10.1109/ICCVW.2019.00030
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