Sciweavers

ECCV
2008
Springer

Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers

14 years 4 months ago
Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches use co-occurrence of "nouns" and image features over large datasets to determine the correspondence, but many correspondence ambiguities remain. We further constrain the correspondence problem by exploiting additional language constructs to improve the learning process from weakly labeled data. We consider both "prepositions" and "comparative adjectives" which are used to express relationships between objects. If the models of such relationships can be determined, they help resolve correspondence ambiguities. However, learning models of these relationships requires solving the correspondence problem. We simultaneously learn the visual features defining "nouns" and the differential visual features defining such "binary-relationships" using an EM-based approach.
Abhinav Gupta, Larry S. Davis
Added 15 Oct 2009
Updated 15 Oct 2009
Type Conference
Year 2008
Where ECCV
Authors Abhinav Gupta, Larry S. Davis
Comments (0)