R-yolo: a yolo-based method for arbitrary-oriented target detection in high-resolution remote sensing images

HIGHLIGHTS

• who: Yongjie Hou and colleagues from the College of Information Science and Engineering, Xinjiang University, Urumqi, China have published the paper: R-YOLO: A YOLO-Based Method for Arbitrary-Oriented Target Detection in High-Resolution Remote Sensing Images, in the Journal: CSL of 30/07/2022
• what: The authors propose single-stage detection network on YOLOv5. The contributions of the study are as follows: A dense target detection method based on YOLOv5 is proposed. In this paper, the dimension of four the feature maps procedures, of downsampling ratios are unified by the DW Block and . . .
  

   

  

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