Rs-yolox: a high-precision detector for object detection in satellite remote sensing images

HIGHLIGHTS

  • who: Lei Yang and colleagues from the School of Information Science and Engineering, Yunnan University, Kunming, China have published the Article: RS-YOLOX: A High-Precision Detector for Object Detection in Satellite Remote Sensing Images, in the Journal: (JOURNAL)
  • what: This work evaluated models on three aerial datasets (DOTA-v1.5 TGRS-HRRSD and RSOD). The comparative experiments demonstrate that the model has the highest accuracy in detecting objects in image datasets. At the same time, the activation values of the features of large objects and medium objects in the feature map X3 are filtered . . .

     

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