6.2k citations · 14.2k across the 134 of their papers we have counts for
3 papers · 2 filters
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation
Michael Cogswell, Xiao Lin, Senthil Purushwalkam +1
We present a two-module approach to semantic segmentation that incorporates Convolutional Networks (CNNs) and Graphical Models. Graphical models are used to generate a small (5-30)…
Candidate Constrained CRFs for Loss-Aware Structured Prediction
Faruk Ahmed, Daniel Tarlow, Dhruv Batra
When evaluating computer vision systems, we are often concerned with performance on a task-specific evaluation measure such as the Intersection-Over-Union score used in the PASCAL…
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems
Jörg H. Kappes, Bjoern Andres, Fred A. Hamprecht +10
Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov Random Fields (MRF). This study provided valuable insights in choosing the best opt…