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    CVIU
    2006
    105views more  CVIU 2006»
    The representation and matching of categorical shape
    13 years 4 months ago
    The representation and matching of categorical shape
    Download  www.cs.toronto.edu
    We present a framework for categorical shape recognition. The coarse shape of an object is captured by a multiscale blob decomposition, representing the compact and elongated part...
    Ali Shokoufandeh, Lars Bretzner, Diego Macrini, M....
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    CVPR
    2012
    IEEE
    248views Computer Vision» more  CVPR 2012»
    A codebook-free and annotation-free approach for fine-grained image categorization
    11 years 7 months ago
    A codebook-free and annotation-free approach for fine-grained image categorization
    Download  vision.stanford.edu
    Fine-grained categorization refers to the task of classifying objects that belong to the same basic-level class (e.g. different bird species) and share similar shape or visual app...
    Bangpeng Yao, Gary R. Bradski, Fei-Fei Li
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    CVPR
    2006
    IEEE
    236views Computer Vision» more  CVPR 2006»
    Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation
    14 years 6 months ago
    Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation
    Download  vision.ucla.edu
    This paper presents a shape representation and a variational framework for the construction of diffeomorphisms that establish "meaningful" correspondences between images...
    Byung-Woo Hong, Emmanuel Prados, Stefano Soatto, L...
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    JOCN
    2007
    166views more  JOCN 2007»
    Neurophysiological Evidence for the Time Course of Activation of Global Shape, Part, and Local Contour Representations during Vi
    13 years 4 months ago
    Neurophysiological Evidence for the Time Course of Activation of Global Shape, Part, and Local Contour Representations during Vi
    Download  ase.tufts.edu
    Haline E. Schendan, Marta Kutas
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    CVPR
    2008
    IEEE
    233views Computer Vision» more  CVPR 2008»
    Loose shape model for discriminative learning of object categories
    13 years 6 months ago
    Loose shape model for discriminative learning of object categories
    Download  mplab.ucsd.edu
    We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
    Margarita Osadchy, Elran Morash
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