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1,005 claims from 629 papers are on the record. 39 have been checked so far; the other 966 have no check with a result yet.

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Status: Unchecked ×Keyword: image classification ×Clear all

4 claims from 2 papers

1. Computer Science › Advanced Neural Network Applications

   ImageNet classification with deep convolutional neural networks

   Krizhevsky, Sutskever and Hinton · Communications of the ACM · 2017

   Unchecked2 claims
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   1. Unchecked“On the test data, we achieved top-1 and top-5 error rates of 37.5% and 17.0%, respectively, which is considerably better than the previous state-of-the-art.”
   2. Unchecked“We also entered a variant of this model in the ILSVRC-2012 competition and achieved a winning top-5 test error rate of 15.3%, compared to 26.2% achieved by the second-best entry.”

2. Computer Science › Stochastic Gradient Optimization Techniques

   Understanding deep learning requires rethinking generalization

   Zhang, Bengio, Hardt, Recht and Vinyals · arXiv (Cornell University) · 2016

   Unchecked2 claims
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   1. Unchecked“Specifically, our experiments establish that state-of-the-art convolutional networks for image classification trained with stochastic gradient methods easily fit a random labeling of the training data.”
   2. Unchecked“This phenomenon is qualitatively unaffected by explicit regularization, and occurs even if we replace the true images by completely unstructured random noise.”