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1911.11981.pdf
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🔗 Source: arxiv.org
📊 Size: 2.55 MB
📄 Pages: 10 pages
⬇️ Downloads: 169

Summary

Class-Conditional Domain Adaptation (CCDA) is proposed for semantic segmentation to address the issue of domain shift and overfitting. CCDA includes a class-conditional multi-scale discriminator and a class-conditional loss function to encourage the network to shift the domain in a class-conditional manner and equalize loss over classes. The method is evaluated on two transfer tasks and demonstrates performance comparable to state-of-the-art methods, addressing the limitation of prior work that tends to disadvantage lower probability classes.

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Class-Conditional Domain Adaptation (CCDA) is proposed for semantic segmentation to address the issue of domain shift and overfitting.

Technical Information

  • File Format: PDF
  • File Size: 2.55 MB
  • Pages: 10
  • Language: EN
  • Total Downloads: 169
  • Last Updated: 1 month ago

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