Yolov5-mgc: gui element identification for mobile applications based on improved yolov5

HIGHLIGHTS

  • who: Jing Cheng and colleagues from the School of Computer Science and Engineering, Xi`an Technological University, Xi`an, China have published the article: YOLOv5-MGC: GUI Element Identification for Mobile Applications Based on Improved YOLOv5, in the Journal: Mobile Information Systems of 12/04/2022
  • what: The authors propose a YOLOv5-MGC algorithm for GUI element identification, which improves the accuracy of element recognition and reduces the rate of missing tiny elements in GUI. (b) The work in this paper and this approach therein are related to object detection-based recognition of interface elements . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?