Open TompsonL opened 7 years ago
If you can extract a "sequence" from your image, and expect sequence labels + one global label, I suggest you to look at TriCRF instead. https://github.com/minwoo/TriCRF
The implemented model by TriCRF is:
y
/ | \
h - h - h
| | |
x x x
The sequence labels as well as the global image label must be discrete.
Thanks for your response. Looks the h nodes in TriCRF are in a chain, Can I use a full connected ?
@TompsonL In principle yes, in practice inference in such graphs would be ahem difficult. Even this triangular chain CRF is fairly expensive (the way it is implemented). Unfortunately I am not familiar well enough with graphical models to suggest or make bigger claims.
@TompsonL I would try out a neural architecture - sequence model as for NER for "h" and classification on top of that for "y".
Thanks for your effort.
On Wed, Aug 2, 2017 at 1:08 PM, Vladislavs Dovgalecs < notifications@github.com> wrote:
@TompsonL https://github.com/tompsonl I would try out a neural architecture - sequence model as for NER for "h" and classification on top of that for "y".
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Hi ,
Can I use the crfsuite to implement the model in the attached image? Thanks a lot.