Comparing State-of-the-Art Visual Features on Invariant Object Recognition Tasks Nicolas Pinto1 , Youssef Barhomi1 , David D. Cox2 , and James J. DiCarlo1 1 Massachusetts Institute of Technology, Cambridge, MA, U.S.A 2 - Brain technology - Document - PDFSEARCH.IO

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	Comparing State-of-the-Art Visual Features on Invariant Object Recognition Tasks Nicolas Pinto1 , Youssef Barhomi1 , David D. Cox2 , and James J. DiCarlo1 1 Massachusetts Institute of Technology, Cambridge, MA, U.S.A 2 Add to Reading List Document Date: 2010-11-15 19:10:14 Open Document File Size: 1,73 MB Share Result on Facebook City Cambridge / / Company PLoS Comp / N. Pinto D. D. / MIT Press / / Country United States / / Facility Massachusetts Institute of Technology / Spatial Pyramid / Pyramid Histogram Of Gradients / / IndustryTerm evaluation tool / tested state-of-the-art algorithms / by-product / state-of-art algorithms / blended solutions / web-based tool / primate visual processing / open-source software / / Organization Rowland Institute / Massachusetts Institute of Technology / Harvard / Yale / / Person Nat / PASCAL VOC / Sebastian Nowozin / L. Van Gool / Peter V. Gehler / / ProgrammingLanguage MATLAB / PASCAL / POV-Ray / / ProvinceOrState Massachusetts / / Technology 3-D / 1 Massachusetts Institute of Technology / high-throughput screening / / URL http / SocialTag Artificial intelligence Brain Object recognition Caltech 101 Visual cortex Feature vector Visual system Shape context Kadir–Brady saliency detector Computer vision

Comparing State-of-the-Art Visual Features on Invariant Object Recognition Tasks Nicolas Pinto1 , Youssef Barhomi1 , David D. Cox2 , and James J. DiCarlo1 1 Massachusetts Institute of Technology, Cambridge, MA, U.S.A 2Add to Reading List