29 search results - page 1 / 6 » Cost-Sensitive Active Visual Category Learning |
91
Voted
IJCV
2011
14 years 5 months ago
2011
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
103
Voted
CVIU
2008
14 years 9 months ago
2008
This paper presents a search engine architecture, RETIN, aiming at retrieving complex categories in large image databases. For indexing, a scheme based on a two-step quantization ...
88
Voted
ICCV
2007
IEEE
16 years 5 days ago
2007
IEEE
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
93
Voted
GECCO
2009
Springer
15 years 2 months ago
2009
Springer
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
102
Voted
ICCV
2011
IEEE
13 years 10 months ago
2011
IEEE
We present an active learning approach to choose image annotation requests among both object category labels and the objects’ attribute labels. The goal is to solicit those labe...