93 search results - page 6 / 19 » Learning to Detect Objects of Many Classes Using Binary Clas... |
74
Voted
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches u...
143
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
A variety of flexible models have been proposed to detect
objects in challenging real world scenes. Motivated
by some of the most successful techniques, we propose a
hierarchica...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
For a large class of applications, there is time to train the system. In this paper, we propose a learning-based approach to patch perspective rectification, and show that it is b...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...