Discover the benefits of data augmentation in AI, including improved generalization, increased dataset size, and enhanced model robustness ...

In the past year, Georgia Tech researchers Vidya Muthukumar and Eva Dyer have made a powerful impression on the National Science Foundation (NSF), forging partnerships between their labs and the ...

The task of point cloud classification suffers from the problem of insufficient data, and data augmentation is an effective method to alleviate this problem. However, the effect of conventional ...

Data is going to be the core of HR operations, with the pandemic changing the role of the crucial functions in companies to include data augmentation, splicing and analysis in framing people ...

Data augmentation, sometimes known as the method of auxiliary variables, is a powerful tool for constructing optimisation and simulation algorithms. In the context of optimisation, Meng & van Dyk ...

To tackle this problem, we propose a litho-aware data augmentation (LADA) framework to resolve the dilemma of limited data and improve the machine learning model performance. First, we pretrain the ...

TRON DAO, the community-governed DAO dedicated to accelerating the decentralization of the internet through blockchain ...