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[논문읽기] Self-training with Noisy Student improves ImageNet classification
Original Paper ) https://arxiv.org/abs/1911.04252 Self-training with Noisy Student improves ImageNet classification We present Noisy Student Training, a semi-supervised learning approach that works well even when labeled data is abundant. Noisy Student Training achieves 88.4% top-1 accuracy on ImageNet, which is 2.0% better than the state-of-the-art model that requires arxiv.org Situation and Pr..
Experiences & Study/Paper (ETC)
2023. 10. 6. 10:25