CB-YOLOv5: Enhancing drone detection with BottleneckCSP and cross convolution for improved performance

Author:

Atik IpekORCID

Publisher

Elsevier BV

Subject

General Medicine

Reference22 articles.

1. MSRConvNet: Classification of railway track defects using multi-scale residual convolutional neural network;Acikgoz;Engineering Applications of Artificial Intelligence,2023

2. Detection of unauthorized unmanned aerial vehicles using YOLOv5 and transfer learning;Al-Qubaydhi;Electronics,2022

3. A digitalized framework for responding to radiological accidents in a public major event;Alrammah;J. Radiat. Res. Appl. Sci.,2023

4. YOLO-V3 based real-time drone detection algorithm;Alsanad;Multimedia Tools and Applications,2022

5. Classification of electronic components based on convolutional neural network architecture;Atik;Energies,2022

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