Unsupervised semantic segmentation inpainting network using a generative adversarial network with preprocessing

HIGHLIGHTS

• who: Woo-Jin Ahn and colleagues from the School of Electrical Engineering, Korea University, Seoul, Republic of Korea have published the Article: Unsupervised Semantic Segmentation Inpainting Network Using a Generative Adversarial Network with Preprocessing, in the Journal: (JOURNAL)
• what: To solve this problem the authors propose an unsupervised semantic segmentation inpainting method using an adversarial deep neural network with a newly introduced preprocessing method and loss function. The authors propose a new cross-entropy total variation loss term to facilitate the generator network to smooth the nearby static segmentation. The authors evaluate the performance of . . .
  

   

  

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