This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
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How to select the theta_alpha, theta_beta and theta_gamma? #155
In CRFasRNN, the
theta_alpha
and thetheta_gamma
are for spatial terms, and thetheta_beta
is for the term in feature space. In https://github.com/torrvision/crfasrnn/blob/22db6d8a1a69ecafe97085d44a4d05eeec299634/python-scripts/TVG_CRFRNN_COCO_VOC.prototxt#L144, thetheta_alpha
is160
, but thetheta_gamma
is3
. Why did these two parameters set for so much difference? In addition, thetheta_alpha
is160
means that the image has a big spatial blur, right? What does this mean? Does any know the reason? Thanks.