Multi-level cycle-consistent adversarial networks with attention mechanism for face sketch-photo synthesis

HIGHLIGHTS

  • who: Danping Ren and colleagues from the Hebei Key Laboratory of Security Protection Information Sensing and Processing, Handan, China School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China have published the research work: Multi-Level Cycle-Consistent Adversarial Networks with Attention Mechanism for Face Sketch-Photo Synthesis, in the Journal: Sensors 2022, 6725 of /2022/
  • what: The Convolutional Block Attention Module (CBAM) is introduced into the residual block of the generator network, thus enhancing the representation ability of the network structure, making the model focus on more important feature information and suppressing . . .

     

    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 ?