A comparative study of different cnn models and transfer learning effect for underwater object classification in side-scan sonar images

HIGHLIGHTS

  • who: Xing Du and colleagues from the First Institute of Oceanography, MNR, Qingdao, China College of Environmental Science and Engineering, Ocean University of China, Qingdao, China have published the article: A Comparative Study of Different CNN Models and Transfer Learning Effect for Underwater Object Classification in Side-Scan Sonar Images, in the Journal: (JOURNAL)
  • what: The findings of this work are useful for future model selection in target recognition in SSS H.; L A Comparative Study of Different CNN Models and The authors evaluated eight CNN models (AlexNet, VGG-16, GoogleNet, and ResNet101, with and . . .

     

    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 ?