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1907.10958.pdf
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🔗 Source: arxiv.org
📊 Size: 7.12 MB
📄 Pages: 5 pages
⬇️ Downloads: 259

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The proposed Cross Attention Network (CANet) for semantic segmentation combines contextual features and spatial information through two branches and a Feature Cross Attention (FCA) module. A shallow branch preserves low-level spatial information, while a deep branch extracts high-level contextual features. The FCA module fuses these branches, capturing spatial attention and channel attention. The network achieves state-of-the-art performance on Cityscapes and CamVid datasets with improved speed and fewer parameters.

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The proposed Cross Attention Network (CANet) for semantic segmentation combines contextual features and spatial information through two branches and a Feature...

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  • File Format: PDF
  • File Size: 7.12 MB
  • Pages: 5
  • Language: EN
  • Total Downloads: 259
  • Last Updated: 18 hours ago

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