Abstract: The performance of existing object detection algorithms significantly degrades when applied to low-resolution infrared (IR) images captured by unmanned aerial vehicles (UAVs), which suffers ...
Target detection in side-scan sonar images under complex environments is challenging due to noisy backgrounds, occlusion, and blurred target boundaries, which reduce the accuracy and robustness of ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...
Benchmarks tested on Intel i7-10700K CPU and NVIDIA RTX 3070 GPU ...
Abstract: The general objective of this study is to propose the methodology to improve the real-time object detection through the YOLO-V7 algorithm. The YOLO-V7 model is optimized in ways such as data ...
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