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PAMI
2010
190views more  PAMI 2010»
14 years 8 months ago
OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
—We present a probabilistic method for segmenting instances of a particular object category within an image. Our approach overcomes the deficiencies of previous segmentation tech...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
CVPR
2006
IEEE
15 years 11 months ago
An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed
Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are pur...
Vidhya Navalpakkam, Laurent Itti
JCNS
2000
168views more  JCNS 2000»
14 years 9 months ago
Integrating Top-Down and Bottom-Up Sensory Processing by Somato-Dendritic Interactions
The classical view of cortical information processing is that of a bottom-up process in a feedforward hierarchy. However, psychophysical, anatomical, and physiological evidence sug...
Markus Siegel, Konrad P. Körding, Peter K&oum...
ECCV
2002
Springer
15 years 11 months ago
Class-Specific, Top-Down Segmentation
In this paper we present a novel class-based segmentation method, which is guided by a stored representation of the shape of objects within a general class (such as horse images). ...
Eran Borenstein, Shimon Ullman
CVPR
2007
IEEE
15 years 11 months ago
Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration
We present a parameter free approach that utilizes multiple cues for image segmentation. Beginning with an image, we execute a sequence of bottom-up aggregation steps in which pix...
Sharon Alpert, Meirav Galun, Ronen Basri, Achi Bra...