3982 search results - page 9 / 797 » Learning to Recognize Objects |
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
85
Voted
CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
We propose to shift the goal of recognition from naming
to describing. Doing so allows us not only to name familiar
objects, but also: to report unusual aspects of a familiar
ob...
CVPR
2012
IEEE
13 years 18 days ago
2012
IEEE
We cast the problem of recognizing related categories as a unified learning and structured prediction problem with shared body plans. When provided with detailed annotations of o...
DAGM
2006
Springer
15 years 1 months ago
2006
Springer
Recognizing categories of articulated objects in real-world scenarios is a challenging problem for today's vision algorithms. Due to the large appearance changes and intra-cla...
ECCV
2008
Springer
16 years 2 days ago
2008
Springer
Abstract. An important task in object recognition is to enable algorithms to categorize objects under arbitrary poses in a cluttered 3D world. A recent paper by Savarese & Fei-...