Google participated with ReCeption / Inception v3 model, see the results: http://image-net.org/challenges/LSVRC/2015/results http://image-net.org/challenges/LSV

Google participated with ReCeption / Inception v3 model, see the results: http://image-net.org/challenges/LSVRC/2015/results http://image-net.org/challenges/LSVRC/2015/results In classification task, MSRA and ReCeption show very similar performance: 0.03567 vs 0.03581 top(5) error. The gap is much more drastic on the localization task: 0.090178 vs 0.195792 The residual learning presented by Microsoft Research seems to be a breakthrough, based on the early evidence. But yes, ImageNet needs to be updated to stay relevant.