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[D] Kaiming He’s original residual network results in 2015 have not been reproduced, not even by Kaiming He himself.

What’s going on here? I have not found a single paper that reproduces or compares against the results shown in Table 4 of the original residual network paper. All papers report significantly worse numbers.

https://arxiv.org/pdf/1512.03385.pdf

top1 err numbers from the paper:

ResNet-50 @ 20.74

ResNet-101 @ 19.87

ResNet-152 @ 19.38

This paper have 20,000+ citations. DenseNet (https://arxiv.org/abs/1608.06993, 3000+ citations) and Wide ResNets (https://arxiv.org/abs/1605.07146, ~1000 citations) don’t use this result. Not even one of Kaiming He’s recent papers (https://arxiv.org/abs/1904.01569) use this result. Since I’m new to the community, maybe I’m missing something here. But isn’t this paper one of the most cited pieces of work in the field??

submitted by /u/CatchADragonFish
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.