Https://arxiv.org/pd F/1811.07073.pdf

1811.07073.pdf
Preview of https://arxiv.org/pd f/1811.07073.pdf
🔗 Source: arxiv.org
📊 Size: 2.5 MB
📄 Pages: 11 pages
⬇️ Downloads: 123

Summary

The framework trains a primary segmentation model with the aid of an ancillary model that generates initial segmentation labels for the weak set and a self-correction module that improves the generated labels during training. Experiments on the PASCAL VOC 2012 and Cityscape datasets show that the models trained with a small fully supervised set perform similar to or better than models trained with a large fully supervised set, requiring ∼7x less annotation effort.

Description

The framework trains a primary segmentation model with the aid of an ancillary model that generates initial segmentation labels for the weak set and a...

Technical Information

  • File Format: PDF
  • File Size: 2.5 MB
  • Pages: 11
  • Language: EN
  • Total Downloads: 123
  • Last Updated: 3 hours ago

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