alphaXiv

Explore

State of the Art

Sign In

Labs

Feedback

Browser Extension

We're hiring
PaperBlogResources

Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled Data

BibTex
Copy
@misc{melo2025effectivedualregionaugmentation,
      title={Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts  of Labeled Data},
      author={Celso M. de Melo and Majid Rabbani and Sohail A. Dianat and Raghuveer M. Rao and Prasanna Reddy Pulakurthi},
      year={2025},
      eprint={2504.13077},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2504.13077},
}
GitHub
Foreground-Background-Augmentation
1
HTTPS
https://github.com/PrasannaPulakurthi/Foreground-Background-Augmentation
SSH
git@github.com:PrasannaPulakurthi/Foreground-Background-Augmentation.git
CLI
gh repo clone PrasannaPulakurthi/Foreground-Background-Augmentation
Transform this paper into an audio lecture
Get an engaging lecture and Q&A format to quickly understand the paper in minutes, perfect for learning on the go.
Audio lecture
Q&A format