The relationship with FullCRF about convcrf HOT 2 OPEN

My understanding is you need to change the kernel size in the message passing function. Change it from 7 (the value used in the current code) to your input size.

from convcrf.

Yes, if you use a large filter size you will get a model very similar to FullCRF. Note that there are some subtle differences. FullCRF uses the Permutohedral Lattice approximation, while a ConvCRF with large filter size is exact.

I have visualized the differences by plotting the impulse response for the filters on a simple 10x10 pixel image, where the center pixels are white with a black frame. The 10x10 filter has the same response as a simple (inefficient) exact filter I have implemented in numpy. The lattice filter however loses some detail. Below the results.

Input Image: 10 x 10	Response of a 5x5 filter	Exact Response	Response of Lattice (FullCRF)

from convcrf.