Comparison of YOLO Versions for Object Detection from Aerial Images

Author:

ATİK Muhammed Enes,DURAN Zaide,ÖZGÜNLÜK Roni

Publisher

International Journal of Environment and Geoinformatics

Reference31 articles.

1. Cepni, S., Atik, M. E., & Duran, Z. (2020). Vehicle detection using different deep learning algorithms from image sequence. Baltic Journal of Modern Computing, 8(2), 347-358.

2. Atik, M. E., & Duran, Z. (2020, October). Deep Learning-Based 3D Face Recognition Using Derived Features from Point Cloud. In The Proceedings of the Third International Conference on Smart City Applications (pp. 797-808). Springer, Cham.

3. Atik, S. O., & Ipbuker, C. (2021). Ship Detection from Satellite Images with Instance Segmentation (Uydu Görüntülerinden Örnek Segmentasyonu ile Gemi Tespiti). 18. Harita Bilimsel ve Teknik Kurultayı, 29-29 Mayıs 2021, Ankara.

4. Atik, S. O., & Ipbuker, C. (2020). Instance Segmentation Of Crowd Detection In The Camera Images. In Proceeding of Asian Conference on Remote Sensing 2020 (ACRS 2020).

5. Yang, M. Y., Liao, W., Li, X., Cao, Y., & Rosenhahn, B. (2019). Vehicle Detection in Aerial Images. Photogrammetric engineering and remote sensing: PE&RS, 85(4), 297-304.

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