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» The Dark Side of Object Learning: Learning Objects
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ICIP
2007
IEEE
14 years 10 months ago
Kernels on Bags of Fuzzy Regions for Fast Object retrieval
We propose in this paper a general kernel framework to deal with database object retrieval embedded in images with heterogeneous background. We use local features computed on fuzz...
Philippe Henri Gosselin, Matthieu Cord, Sylvie Phi...
CVPR
2010
IEEE
14 years 5 months ago
Comparative object similarity for improved recognition with few or no examples
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
Gang Wang, David Forsyth, Derek Hoiem
CCIA
2007
Springer
14 years 3 months ago
An Evaluation of an Object Recognition Schema Using Multiple Region Detectors
Abstract. Robust object recognition is one of the most challenging topics in computer vision. In the last years promising results have been obtained using local regions and descrip...
Meritxell Vinyals, Arnau Ramisa, Ricardo Toledo
DAGM
2004
Springer
14 years 2 months ago
Scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search
The goal of our work is object categorization in real-world scenes. That is, given a novel image we want to recognize and localize unseen-before objects based on their similarity t...
Bastian Leibe, Bernt Schiele
ICVS
1999
Springer
14 years 1 months ago
ADORE: Adaptive Object Recognition
Many modern computer vision systems are built by chaining together standard vision procedures, often in graphical programming environments such as Khoros, CVIPtools or IUE. Typical...
Bruce A. Draper, José Bins, Kyungim Baek