• 2012
    • 0.15 - Supervision (AlexNet) - ~ 60954656 params
    • 0.26 - ISI (ensemble of features)
    • 0.27 - LEAR (Fisher Vectors)
  • 2013
    • 0.117 - Clarifai (paper)
    • 0.129 - NUS (very parametric but interesting method based on test and train data affinities)
    • 0.135 - ZF (same paper)
  • 2014
    • 0.06 - GoogLeNet (Inception Modules) -  ~ 11176896 params
    • 0.07 - VGGnet (Go deeper and deeper)

     

    • 0.08 - SPPnet  (A retrospective addition from early vision)
     

     

from: http://www.erogol.com/imagenet-winners-after-2012/

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