616 search results - page 7 / 124 » Learning Hierarchical Models of Scenes, Objects, and Parts |
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Given an image, we propose a hierarchical generative
model that classifies the overall scene, recognizes and segments
each object component, as well as annotates the image
with ...
77
Voted
CVPR
2010
IEEE
15 years 3 months ago
2010
IEEE
We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent objec...
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
98
Voted
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
We propose a generative model that codes the geometry and appearance of generic visual object categories as a loose hierarchy of parts, with probabilistic spatial relations linkin...
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...