Feedforward semantic segmentation with zoom-out features

@article{Mostajabi2015FeedforwardSS,
  title={Feedforward semantic segmentation with zoom-out features},
  author={Mohammadreza Mostajabi and Payman Yadollahpour and Gregory Shakhnarovich},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={3376-3385}
}
We introduce a purely feed-forward architecture for semantic segmentation. We map small image elements (superpixels) to rich feature representations extracted from a sequence of nested regions of increasing extent. These regions are obtained by “zooming out” from the superpixel all the way to scene-level resolution. This approach exploits statistical structure in the image and in the label space without setting up explicit structured prediction mechanisms, and thus avoids complex and expensive… CONTINUE READING
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Feedforward semantic segmentation with zoom-out features

  • M. Mostajabi, P. Yadollahpour, G. Shakhnarovich
  • arXiv preprint http://arxiv.org/abs/1412.0774,
  • 2015
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