İlkay Ulusoy

Label Noise Types and Their Effects on Deep Learning

2020 · arXiv (Cornell University)

The recent success of deep learning is mostly due to the availability of big datasets with clean annotations. However, gathering a cleanly annotated dataset is not always feasible due to practical challenges. As a result, …

Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation

2022 · arXiv (Cornell University)

Few-shot segmentation aims to devise a generalizing model that segments query images from unseen classes during training with the guidance of a few support images whose class tally with the class of the query. There …