32 search results - page 1 / 7 » Detect2Rank: Combining Object Detectors Using Learning to Ra... |
ICCV
2009
IEEE
13 years 10 months ago
2009
IEEE
A new learning strategy for object detection is presented.
The proposed scheme forgoes the need to train a collection
of detectors dedicated to homogeneous families of poses,
an...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
ICML
1998
IEEE
14 years 5 months ago
1998
IEEE
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
The objective of this work is the detection of object classes, such as airplanes or horses. Instead of using a model based on salient image fragments, we show that object class det...