IT-OSE: Exploring Optimal Sample Size for Industrial Data Augmentation
arXiv:2602.15878v1 Announce Type: cross Abstract: In industrial scenarios, data augmentation is an effective approach to improve model performance. However, its benefits are not unidirectionally beneficial. …
Mingchun Sun, Rongqiang Zhao, Zhennan Huang, Songyu Ding, Jie Liu
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