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An opposition to LOCUS

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An opposition to LOCUS David Lee Unsupervised? Poor dataset and How to take advantage of it with top-down generative approach Unsupervised? – PowerPoint PPT presentation

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Title: An opposition to LOCUS


1
An opposition to LOCUS
  • David Lee

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

3
(No Transcript)
4
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 theyre not),
  • strong edge between foreground background
  • small color/texture variance within foreground
  • ? Weizmann horses Caltech 101 !!

5
Mean of Canny edges
6
Mean of hand-labeled mask
7
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.

8
My Universal Horse Segmentation
MUHS
70
9
(No Transcript)
10
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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