MILITARY-EYES: A Real-Time Hyper-Tuned and Optimised Object Detection Approach Tailored for Military Dataset
Author:
Affiliation:
1. IIT Indore, Indore, 453552, MP, India
2. MCTE, Mhow, MP 453441, India
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/03772063.2024.2357619
Reference13 articles.
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2. On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data
3. N. Dalal and B. Triggs “Histograms of oriented gradients for human detection ” in 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 1 IEEE 2005 pp. 886–893.
4. J. Dai L. Wu and P. Wang “Overview of UAV target detection algorithms based on deep learning ” in 2021 IEEE 2nd International Conference on Information Technology Big Data and Artificial Intelligence (ICIBA) Vol. 2 IEEE 2021 pp. 736–745.
5. J. He M. Liu and C. Yu “UAV reaction detection based on multi-scale feature fusion ” in 2022 International Conference on Image Processing Computer Vision and Machine Learning (ICICML) IEEE 2022 pp. 640–643.
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