Unsupervised Learning of Categorical Segments in Image Collections

  title={Unsupervised Learning of Categorical Segments in Image Collections},
  author={Marco Andreetto and Lihi Zelnik-Manor and Pietro Perona},
  journal={2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a flexible probabilistic model, for representing the shape and appearance of each segment, with the popular “bag of visual words” model for recognition. If applied to a collection of images, our framework can simultaneously discover the segments of each image and the correspondence between such segments, without supervision… CONTINUE READING
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