Clisar-net: a deformation-robust isar image classification network using contrastive learning

HIGHLIGHTS

• who: Peishuang Ni and colleagues from the State Key Laboratory of Millimeter Waves, School of Information Science and Engineering, Southeast University, Nanjing, China have published the research: CLISAR-Net: A Deformation-Robust ISAR Image Classification Network Using Contrastive Learning, in the Journal: (JOURNAL)
• what: Without manual annotation, the authors design an unsupervised pretraining encoder to learn transferable deep representations of ISAR images. In the experiment, all the unlabeled training samples are used to pretrain the convolutional encoder in CLISAR-Net to obtain the deep representations of ISAR images. Based on the above analysis, it is . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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