Mask-point: automatic 3d surface defects detection network for fiber-reinforced resin matrix composites

HIGHLIGHTS

  • who: Helin Li and collaborators from the School of Mechanical Engineering, Tianjin University, Tianjin, China have published the research: Mask-Point: Automatic 3D Surface Defects Detection Network for Fiber-Reinforced Resin Matrix Composites, in the Journal: Polymers 2022, 3390 of 17/07/2022
  • what: The main novelties and contributions of this research are new multi-head 3D RPEs in Stage 1 of Mask-Point are designed for generating several 3D ROIs, allowing subsequent networks to focus on potential regions of defects, and_(2) the shared classifier and NMS in Stage 2 of Mask-Point are . . .

     

    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 ?