Search Results for author:
Found 1 papers, 1 papers with code
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond
We introduce regularized Frank-Wolfe, a general and effective algorithm for inference and learning of dense conditional random fields (CRFs).
Ranked #13 on
Semantic Segmentation
on Cityscapes test
(using extra training data)
Cannot find the paper you are looking for? You can
Submit a new open access paper.
