22 search results - page 3 / 5 » Object Localization with Boosting and Weak Supervision for G... |
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Learning a new object class from cluttered training images is very challenging when the location of object instances is unknown. Previous works generally require objects covering a...
ECCV
2008
Springer
14 years 8 months ago
2008
Springer
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
CIVR
2008
Springer
13 years 8 months ago
2008
Springer
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
ICPR
2004
IEEE
14 years 7 months ago
2004
IEEE
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...