What, where and how many? Combining object detectors and CRFs
Computer vision algorithms for individual tasks such as object recognition, detection and segmentation have shown impressive results in the recent past. The next challenge is to integrate all these algorithms and address the problem of scene understanding. This paper is a step towards this goal. We...
Main Authors: | Ladický, L, Sturgess, P, Alahari, K, Russell, C, Torr, PHS |
---|---|
Formato: | Conference item |
Idioma: | English |
Publicado: |
Springer
2010
|
Títulos similares
-
Associative hierarchical CRFs for object class image segmentation
por: Ladický, L, et al.
Publicado: (2009) -
Inference methods for CRFs with co-occurrence statistics
por: Ladický, Ľ, et al.
Publicado: (2012) -
Exact inference in multi-label CRFs with higher order cliques
por: Ramalingam, S, et al.
Publicado: (2008) -
Combining appearance and structure from motion features for road scene understanding
por: Sturgess, P, et al.
Publicado: (2009) -
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
por: Arnab, A, et al.
Publicado: (2016)