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YOLOv4 is a deep learning model that utilizes convolutional neural networks (CNNs) and a single-shot detection approach, meaning that it processes the entire image at once to detect objects instead of ...

An improved UAV object detection method based on YOLOv4 is proposed in this paper for the problems faced by UAV vision detection, such as small targets, multiple scales, and complex backgrounds. First ...

Accurate object detection in remote sensing is crucial for air traffic surveillance, border security, and disaster response. However, detecting aircraft and other objects in aerial imagery remains ...