A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels

Overview of attention for article published in arXiv, October 2022

Altmetric Badge

About this Attention Score

In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (82nd percentile)
High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter: 5 X users

podcasts: 1 podcast

Readers on

mendeley: 14 Mendeley

So far, Altmetric has seen 5 X posts from 5 X users, with an upper bound of 4,918 followers.

A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noi ... ノイズの多いラベルの存在下で畳み込みニューラルネットワークをトレーニングするためのデータ拡張の影響に関する研究 arXiv: https://t.co/oDJXrazId…

"A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Lab… https://t.co/chmZlqS4Yv

A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. (arXiv:2208.11176v1 [https://t.co/BrBPBZFbbU]) https://t.co/55tXtY3VzT https://t.co/ub1Mn6AAqa

Data augmentation can improve the model robustness to label noise, increasing up to 177.84% of relative best testaccuracy. 📄 https://t.co/1tfXdaalT8 https://t.co/eiYQ54eG3O

This page shows the most recent X posts that mention this research output. Click here to find out how to access more activity, including 1 additional X posts.