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...
Κύριοι συγγραφείς: | Ladický, L, Sturgess, P, Alahari, K, Russell, C, Torr, PHS |
---|---|
Μορφή: | Conference item |
Γλώσσα: | English |
Έκδοση: |
Springer
2010
|
Παρόμοια τεκμήρια
-
Associative hierarchical CRFs for object class image segmentation
ανά: Ladický, L, κ.ά.
Έκδοση: (2009) -
Inference methods for CRFs with co-occurrence statistics
ανά: Ladický, Ľ, κ.ά.
Έκδοση: (2012) -
Exact inference in multi-label CRFs with higher order cliques
ανά: Ramalingam, S, κ.ά.
Έκδοση: (2008) -
Combining appearance and structure from motion features for road scene understanding
ανά: Sturgess, P, κ.ά.
Έκδοση: (2009) -
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
ανά: Arnab, A, κ.ά.
Έκδοση: (2016)