25 search results - page 1 / 5 » Learning to Recognize Objects with Little Supervision |
IJCV
2008
13 years 11 months ago
2008
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
IUI
2012
ACM
12 years 6 months ago
2012
ACM
Recent computer vision approaches are aimed at richer image interpretations that extend the standard recognition of objects in images (e.g., cars) to also recognize object attribu...
CVPR
2011
IEEE
13 years 7 months ago
2011
IEEE
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
ECCV
2008
Springer
15 years 1 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
We consider the important challenge of recognizing a variety of deformable object classes in images. Of fundamental importance and particular difficulty in this setting is the pro...