1410 search results - page 148 / 282 » Learning to localize detected objects |
170
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ECCV
2004
Springer
16 years 8 months ago
2004
Springer
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
166
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PAMI
2007
15 years 5 months ago
2007
This paper presents a robust object tracking method via a spatial bias appearance model learned dynamically in video. Motivated by the attention shifting among local regions of a ...
180
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
In this paper we present a method for learning classspecific
features for recognition. Recently a greedy layerwise
procedure was proposed to initialize weights of deep
belief ne...
170
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ICIAR
2010
Springer
15 years 10 months ago
2010
Springer
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
160
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ICCV
1998
IEEE
16 years 8 months ago
1998
IEEE
Existing object tracking algorithms generally use some form of local optimisation, assuming that an object's position and shape change smoothly over time. In some situations ...