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1805.04554v1.pdf
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🔗 Source: arxiv.org
📊 Size: 12.98 MB
📄 Pages: 11 pages
⬇️ Downloads: 141

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ContextNet is a deep neural network architecture for real-time semantic segmentation, combining a deep branch at low resolution for global context information and a shallow branch at high resolution for detailed segmentation. It builds on factorized convolution, network compression, and pyramid representations, achieving 66.1% accuracy at 18.2 frames per second on the Cityscapes dataset.

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ContextNet is a deep neural network architecture for real-time semantic segmentation, combining a deep branch at low resolution for global context information...

Technical Information

  • File Format: PDF
  • File Size: 12.98 MB
  • Pages: 11
  • Language: EN
  • Total Downloads: 141
  • Last Updated: 3 weeks ago

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