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» Unsupervised discovery of visual object class hierarchies
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CVPR
2008
IEEE
14 years 5 months ago
Unsupervised discovery of visual object class hierarchies
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
Josef Sivic, Bryan C. Russell, Andrew Zisserman, W...
DAGM
2006
Springer
13 years 7 months ago
Towards Unsupervised Discovery of Visual Categories
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...
Mario Fritz, Bernt Schiele
CVPR
2000
IEEE
14 years 5 months ago
Towards Automatic Discovery of Object Categories
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...
Markus Weber, Max Welling, Pietro Perona
CVPR
2011
IEEE
13 years 1 months ago
Unsupervised Auxiliary Visual Words Discovery for Large-Scale Image Object Retrieval
Image object retrieval – locating image occurrences of specific objects in large-scale image collections – is essential for manipulating the sheer amount of photos. Current s...
Yin-Hsi Kuo, Hsuan-Tien Lin, Wen-Huang Cheng, Yi-H...
ICIP
2010
IEEE
13 years 29 days ago
Object detection and segmentation on a hierarchical region-based image representation
In this paper we present a general framework for object detection and segmentation. Using a bottom-up unsupervised merging algorithm, a region-based hierarchy that represents the ...
Verónica Vilaplana, Ferran Marqués, ...