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GSchwartz_CPCV13.pdf
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🔗 Source: vision.ist.i.kyoto-u.ac.jp
📊 Size: 4.82 MB
📄 Pages: 8 pages
⬇️ Downloads: 136

Summary

Researchers propose "visual material traits" to recognize material properties at the pixel level, without relying on object-specific information. This approach learns convolutional kernels in an unsupervised setting to recognize complex material trait appearances, such as "shiny" or "woven". The method achieves high accuracy in recognizing material traits, with an average accuracy of 78.4%, and demonstrates its use in material recognition and image segmentation tasks.

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Description

Researchers propose "visual material traits" to recognize material properties at the pixel level, without relying on object-specific information.

Technical Information

  • File Format: PDF
  • File Size: 4.82 MB
  • Pages: 8
  • Language: EN
  • Total Downloads: 136
  • Last Updated: 1 week ago

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