19 search results - page 1 / 4 » Towards Unsupervised Discovery of Visual Categories |
DAGM
2006
Springer
13 years 8 months ago
2006
Springer
Recently, many approaches have been proposed for visual object category detection. They vary greatly in terms of how much supervision is needed. High performance object detection m...
CVPR
2000
IEEE
14 years 6 months ago
2000
IEEE
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
EMNLP
2010
13 years 2 months ago
2010
Multi-category bootstrapping algorithms were developed to reduce semantic drift. By extracting multiple semantic lexicons simultaneously, a category's search space may be res...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
CVPR
2010
IEEE
14 years 21 days ago
2010
IEEE
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...