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This number is not credible. Are we done with ImageNet?[1] points out that the best ImageNet models that currently exist surpass the accuracy of the original la
by Veedrac 5y ago
This number is not credible. Are we done with ImageNet?[1] points out that the best ImageNet models that currently exist surpass the accuracy of the original labels they are trained on. Expecting to reduce error by a factor 10 on unseen data points is incoherent.
[1] https://arxiv.org/abs/2006.07159 https://arxiv.org/abs/2006.07159
- abecedarius 5y agoI was unimpressed too; when I posted that snippet there were no other comments and I figured it'd help others judge whether it was worth the read.