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» POP: Patchwork of Parts Models for Object Recognition
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CLOR
2006
13 years 8 months ago
Generative Models for Labeling Multi-object Configurations in Images
Abstract. We propose a generative approach to the problem of labeling images containing configurations of objects from multiple classes. The main building blocks are dense statisti...
Yali Amit, Alain Trouvé
CVPR
2012
IEEE
11 years 7 months ago
Teaching 3D geometry to deformable part models
Current object class recognition systems typically target 2D bounding box localization, encouraged by benchmark data sets, such as Pascal VOC. While this seems suitable for the de...
Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt...
CVPR
2005
IEEE
14 years 6 months ago
Object Class Recognition by Boosting a Part-Based Model
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
ECCV
2006
Springer
14 years 6 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher