An opposition to LOCUS
David Lee
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Unsupervised?
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Poor dataset
and
How to take advantage of it with top-down
generative approach
Unsupervised?
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Images themselves are already a crude
segmentation
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Assumptions (Tell the system that…)
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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 !!
Mean of Canny edges
Mean of hand-labeled mask
Top-down generative approach
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When the data has strong constraints,
take advantage of that high level prior
knowledge.
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If you know what the data is like, let the
generative model be it.
My Universal Horse Segmentation
MUHS
70%
My Universal Horse Segmentation
0.536240 0.880552 0.493996
0.708324 0.718089 0.530342
0.802334 0.545985 0.470904