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An opposition to LOCUS

An opposition to LOCUS. David Lee. Unsupervised? Poor dataset and How to take advantage of it with top-down generative approach. Unsupervised?. Images themselves are already a crude segmentation Assumptions (Tell the system that…) There exists one horse, facing left,

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An opposition to LOCUS

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  1. An opposition to LOCUS David Lee

  2. Unsupervised? • Poor dataset and How to take advantage of it with top-down generative approach

  3. Unsupervised? • Images themselves are already a crude segmentation • Assumptions (Tell the system that…) • There exists one horse, • facing left, • occupying 15-30% of the image, • centered (although authors claim they’re not), • strong edge between foreground & background • small color/texture variance within foreground  Weizmann horses & Caltech 101 !!

  4. Mean of Canny edges

  5. Mean of hand-labeled mask

  6. Top-down generative approach • When the data has strong constraints,take advantage of that high level prior knowledge. • If you know what the data is like, let the generative model be it.

  7. My Universal Horse Segmentation MUHS 70%

  8. My Universal Horse Segmentation 0.536240 0.880552 0.493996 0.708324 0.718089 0.530342 0.802334 0.545985 0.470904

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