SCAN: Learning Hierarchical Compositional Visual Concepts

Nicolas Sonnerat
Nicolas Sonnerat
Loic Matthey
Loic Matthey
Arka Pal
Arka Pal
Christopher P. Burgess
Christopher P. Burgess
Alexander Lerchner
Alexander Lerchner

international conference on learning representations, 2018.

Cited by: 2|Bibtex|Views41|Links
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Abstract:

The seemingly infinite diversity of the natural world arises from a relatively small set of coherent rules, such as the laws of physics or chemistry. We conjecture that these rules give rise to regularities that can be discovered through primarily unsupervised experiences and represented as abstract concepts. If such representations are c...More

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