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Št. zadetkov: 2
Improved Initialisation and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference
Vibhav Vineet
Video in druga učna gradiva
Oznake: computer science;machine learning;gaussian processes;computer vision
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 ...
Leto: 2012 Vir: videolectures.net
Filter-based Mean-Field Inference for Random Fields with Higher Order Terms and Product Label-Spaces
Vibhav Vineet , Ramin Zabih , Laurent Itti
Video in druga učna gradiva
Oznake: computer science;computer vision
Recently, a number of cross bilateral filtering methods have been proposed for solving multi-label problems in computer vision, such as stereo, optical flow and object class segmentation that show an order of magnitude improvement in speed over previous methods. These methods have achieved good resu ...
Leto: 2012 Vir: videolectures.net
Št. zadetkov: 2
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