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Doubt about the Imagenet results with extra modules. #5

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orashi opened this issue Jan 14, 2020 · 1 comment
Open

Doubt about the Imagenet results with extra modules. #5

orashi opened this issue Jan 14, 2020 · 1 comment
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@orashi
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orashi commented Jan 14, 2020

Both Top-1 and Top-5 accuracies of three distinct models are being improved uniformely with respect to the baseline accuracies after the introduction of the swish activation and SE modules:
AtomNAS-A:74.6->76.3 (+1.7), 92.1->93.0 (+0.9)
AtomNAS-B:75.5->77.2 (+1.7), 92.6->93.5 (+0.9)
AtomNAS-C:75.9->77.6 (+1.7), 92.7->93.6 (+0.9)
which is an eye-catching uniformity that rarely appears. Is there a reasonable explaination for this?
Thanks very much for your reply!

@skylian
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skylian commented Jan 17, 2020

I would say that is a coincidence. If you run the code again, the results are likely different.

meijieru pushed a commit that referenced this issue Feb 3, 2020
* Delete MODEL_ZOO.md

* Update README.md
@meijieru meijieru added the invalid This doesn't seem right label May 13, 2020
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