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...
Auteurs principaux: | Ladický, L, Sturgess, P, Alahari, K, Russell, C, Torr, PHS |
---|---|
Format: | Conference item |
Langue: | English |
Publié: |
Springer
2010
|
Documents similaires
-
Associative hierarchical CRFs for object class image segmentation
par: Ladický, L, et autres
Publié: (2009) -
Inference methods for CRFs with co-occurrence statistics
par: Ladický, Ľ, et autres
Publié: (2012) -
Exact inference in multi-label CRFs with higher order cliques
par: Ramalingam, S, et autres
Publié: (2008) -
Combining appearance and structure from motion features for road scene understanding
par: Sturgess, P, et autres
Publié: (2009) -
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
par: Arnab, A, et autres
Publié: (2016)