GeoF: Geodesic Forests for Learning Coupled Predictors

CVPR 2013 Peter KontschiederPushmeet KohliJamie ShottonAntonio Criminisi

Conventional decision forest based methods for image labelling tasks like object segmentation make predictions for each variable (pixel) independently [3, 5, 8]. This prevents them from enforcing dependencies between variables and translates into locally inconsistent pixel labellings... (read more)

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