Improved initialization and Gaussian mixture pairwise terms for dense random fields with mean-field inference
Recently, Krahenbuhl and Koltun proposed an efficient inference method for densely connected pairwise random fields using the mean-field approximation for a Conditional Random Field (CRF). However, they restrict their pairwise weights to take the form of a weighted combination of Gaussian kernels wh...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
British Machine Vision Association and Society for Pattern Recognition
2012
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