38 search results - page 2 / 8 » Weakly Supervised Object Recognition and Localization with I... |
ECCV
2008
Springer
14 years 6 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...
PAMI
2006
13 years 4 months ago
2006
This paper explores the power and the limitations of weakly supervised categorization. We present a complete framework that starts with the extraction of various local regions of e...
BVAI
2005
Springer
13 years 10 months ago
2005
Springer
A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to genera...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
We present an object recognition algorithm that uses model and image line features to locate complex objects in high clutter environments. Finding correspondences between model an...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...