Sudarshan Regmi

Image-based Outlier Synthesis With Training Data

2024 · arXiv (Cornell University)

Out-of-distribution (OOD) detection is critical to ensure the safe deployment of deep learning models in critical applications. Deep learning models can often misidentify OOD samples as in-distribution (ID) samples. This vulnerability worsens in the presence …