FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection

Embedded flight devices with visual capabilities have become essential for a wide range of applications. In aerial image detection, while many existing methods have partially addressed the issue of small target detection, challenges remain in optimizing small target detection and balancing detection accuracy with efficiency. These issues are key obstacles to the advancement of real-time aerial image detection. In this paper, we propose a new family of real-time detectors for aerial image detection, named FBRT-YOLO, to address the imbalance between detection accuracy and efficiency. Our method comprises two lightweight modules: Feature Complementary Mapping Module (FCM) and Multi-Kernel Perception Unit (MKP),…

• NS
  Natural Science Foundation of Chongqing

  Awards: cstc2021jcyj, Grant No. cstc2021jcyj-msxmX1130, cstc2021jcyj-msxmX1130