88 search results - page 2 / 18 » Learning the Compositional Nature of Visual Objects |
EMMCVPR
2005
Springer
13 years 11 months ago
2005
Springer
This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
CVPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Classification of images in many category datasets has
rapidly improved in recent years. However, systems that
perform well on particular datasets typically have one or
more lim...
NIPS
2001
13 years 7 months ago
2001
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
This paper proposes a novel approach to constructing a hierarchical representation of visual input that aims to enable recognition and detection of a large number of object catego...