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ICCV
2011
IEEE

Are Spatial and Global Constraints Really Necessary for Segmentation?

8 years 3 months ago
Are Spatial and Global Constraints Really Necessary for Segmentation?
Many state-of-the-art segmentation algorithms rely on Markov or Conditional Random Field models designed to enforce spatial and global consistency constraints. This is often accomplished by introducing additional latent variables to the model, which can greatly increase its complexity. As a result, estimating the model parameters or computing the best maximum a posteriori (MAP) assignment becomes a computationally expensive task. In a series of experiments on the PASCAL and the MSRC datasets, we were unable to find evidence of a significant
Aurelien Lucchi, Yunpeng Li, Xavier Boix, Kevin Sm
Added 11 Dec 2011
Updated 11 Dec 2011
Type Journal
Year 2011
Where ICCV
Authors Aurelien Lucchi, Yunpeng Li, Xavier Boix, Kevin Smith, Pascal Fua
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