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DAGM
2006
Springer
15 years 3 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
2007
IEEE
15 years 6 months ago
Unsupervised Learning of Hierarchical Semantics of Objects (hSOs)
A successful representation of objects in the literature is as a collection of patches, or parts, with a certain appearance and position. The relative locations of the different p...
Devi Parikh, Tsuhan Chen
NIPS
2001
15 years 1 months ago
Probabilistic principles in unsupervised learning of visual structure: human data and a model
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Na...
PAMI
2010
260views more  PAMI 2010»
14 years 10 months ago
Unsupervised Object Segmentation with a Hybrid Graph Model (HGM)
—In this work, we address the problem of performing class-specific unsupervised object segmentation, i.e., automatic segmentation without annotated training images. Object segmen...
Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang
CAIP
2001
Springer
127views Image Analysis» more  CAIP 2001»
15 years 4 months ago
An Optimization Approach for Translational Motion Estimation in Log-Polar Domain
Log-polar imaging is an important topic in space-variant active vision, and facilitates some visual tasks. Translation estimation, though essential for active tracking, is more diï...
V. Javier Traver, Filiberto Pla