H-yolo: a single-shot ship detection approach based on region of interest preselected network

HIGHLIGHTS

• who: Gang Tang and colleagues from the Logistics Engineering College, Shanghai Maritime University, Shanghai, China have published the research: H-YOLO: A Single-Shot Ship Detection Approach Based on Region of Interest Preselected Network, in the Journal: (JOURNAL)
• what: The experiment shows that the H-YOLO network which uses the same weight training from a set of remote sensing images has a 19.01% higher recognition rate and a 16.19% higher accuracy than applying the you only look once (YOLO) network alone.
• how: This paper introduces a novel high-resolution image network . . .
  

   

  

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

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

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