Arbitrarily oriented dense object detection based on center point network in remote sensing images

HIGHLIGHTS

  • who: Peng Wang and collaborators from the School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China have published the paper: Arbitrarily Oriented Dense Object Detection Based on Center Point Network in Remote Sensing Images, in the Journal: (JOURNAL)
  • what: The authors propose an anchor-free approach for the high-precision of rotated objects. Aiming at improving the detection accuracy of the model, the authors propose a more effective example dynamic equalization method on the basis of the GHM. The authors propose a rotated CIoU (RCIoU) loss which incorporates angle information in CIoU, and adopts . . .

     

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