CLOR 2006 - PDF Preprint Papers

CLOR 2006 Toward Category-Level Object Recognition

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CLOR
2006

282views Computer Vision» more CLOR 2006»

An Implicit Shape Model for Combined Object Categorization and Segmentation

13 years 7 months ago

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We present a method for object categorization in real-world scenes. Following a common consensus in the field, we do not assume that a figure-ground segmentation is available prior...

Bastian Leibe, Ales Leonardis, Bernt Schiele

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Id	Views	Title	Status

1	282	An Implicit Shape Model for Combined Object Categorization and Segmentation	claim
2	250	Object Detection and Localization Using Local and Global Features	claim
3	219	Industry and Object Recognition: Applications, Applied Research and Challenges	claim
4	215	A Discriminative Framework for Texture and Object Recognition Using Local Image Features	claim
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6	207	3D Object Modeling and Recognition from Photographs and Image Sequences	claim
7	206	Synergistic Face Detection and Pose Estimation with Energy-Based Models	claim
8	205	Shared Features for Multiclass Object Detection	claim
9	193	Video Google: Efficient Visual Search of Videos	claim
10	181	Components for Object Detection and Identification	claim
11	173	Comparison of Generative and Discriminative Techniques for Object Detection and Classification	claim
12	169	Visual Classification by a Hierarchy of Extended Fragments	claim
13	168	A Sparse Object Category Model for Efficient Learning and Complete Recognition	claim
14	168	Object Recognition by Combining Appearance and Geometry	claim
15	164	Dataset Issues in Object Recognition	claim
16	158	Sequential Learning of Layered Models from Video	claim
17	153	The Trace Model for Object Detection and Tracking	claim
18	152	Shape Matching and Object Recognition	claim
19	150	Object Recognition in the Geometric Era: A Retrospective	claim
20	148	Generative Models for Labeling Multi-object Configurations in Images	claim

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