YOLO-Ant: A Lightweight Detector via Depthwise Separable Convolutional and Large Kernel Design for Antenna Interference Source Detection

arXiv:2402.12641v1 Announce Type: new
Abstract: In the era of 5G communication, removing interference sources that affect communication is a resource-intensive task. The rapid development of computer vision has enabled unmanned aerial vehicles to perform various high-altitude detection tasks. Because the field of object detection for antenna interference sources has not been fully explored, this industry lacks dedicated learning samples and detection models for this specific task. In this article, an antenna dataset is created to address important antenna interference source …

abstract aerial ant arxiv communication computer computer vision cs.cv design detection development high-altitude interference kernel tasks type unmanned aerial vehicles vehicles via vision yolo