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» From Region Similarity to Category Discovery
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CVPR
2011
IEEE
13 years 21 days ago
From Region Similarity to Category Discovery
The goal of object category discovery is to automatically identify groups of image regions which belong to some new, previously unseen category. This task is typically performed i...
Carolina Galleguillos, Brian McFee, Serge Belongie...
ICIP
2003
IEEE
14 years 6 months ago
New image retrieval paradigm: logical composition of region categories
We present a novel framework for intelligent search and retrieval by image content composition. Very different from the existing Query-by-Example paradigm, logical queries are exp...
Julien Fauqueur, Nozha Boujemaa
CVPR
2011
IEEE
13 years 21 days ago
Learning the Easy Things First: Self-Paced Visual Category Discovery
Objects vary in their visual complexity, yet existing discovery methods perform “batch” clustering, paying equal attention to all instances simultaneously—regardless of the ...
Yong Jae Lee, Kristen Grauman
CVPR
2010
IEEE
14 years 23 days ago
Object-Graphs for Context-Aware Category Discovery
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
Yong Jae Lee, Kristen Grauman
CVPR
2000
IEEE
14 years 6 months ago
Towards Automatic Discovery of Object Categories
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Markus Weber, Max Welling, Pietro Perona