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The depth of a representation, not any particular architecture trick, is what most visual recognition tasks turn on.

Drawn from what Jian Sun and Kaiming He said

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What they actually said

Word for word, with the source under each one. They did not write this page.

  1. Jian Sun The depth of representations is of central importance for many visual recognition tasks. arxiv.org

    Computer vision researcher

    Their wordsThe depth of representations is of central importance for many visual recognition tasks.

    Where this was said

    ↗He, Zhang, Ren & Sun, "Deep Residual Learning for Image Recognition" (arXiv)arxiv.org

    All 8 korrents from this piecethis one is 8th

  2. Kaiming He The depth of representations is of central importance for many visual recognition tasks. arxiv.org

    Associate professor at MIT and first author of the residual networks paper

    Their wordsThe depth of representations is of central importance for many visual recognition tasks.

    Where this was said

    ↗He, Zhang, Ren & Sun, "Deep Residual Learning for Image Recognition" (arXiv)arxiv.org

    All 8 korrents from this piecethis one is 7th

Added to korrents 10 Dec 2015 · How quotes work · Something wrong? Tell us

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