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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 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



I 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.




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