Yolo-dsd: a yolo-based detector optimized for better balance between accuracy, deployability and inference time in optical remote sensing object detection

HIGHLIGHTS

• who: Hengxu Chen and collaborators from the College of Engineering, South China Agricultural University, Guangzhou, China have published the article: YOLO-DSD: A YOLO-Based Detector Optimized for Better Balance between Accuracy, Deployability and Inference Time in Optical Remote Sensing Object Detection, in the Journal: (JOURNAL)
• what: Detectors in this study were analyzed from three perspectives, including detection Detectors in this study were analyzed from three perspectives, including detection accuracy, deployability and speed. Four experiments were conducted in this study to verify the superiority of the proFour experiments were conducted in this study to verify . . .
  

   

  

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