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huawei-noah / Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
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ViG Datasets - incorrect number of training samples in ImageNet #138

Closed asif-hanif closed 2 years ago

asif-hanif commented 2 years ago

Hi, I think there is a minor mistake in section 4.1 of the ViG paper. ImageNet-1k dataset has around 1.2M training samples as opposed to 120M samples. You may want to correct this disparity in arXiv version of the paper.

iamhankai commented 2 years ago

Thanks for the correction. We'll fix the typo in the next version.