Tejas Shimpi

What Ails One-Shot Image Segmentation: A Data Perspective

One-shot image segmentation (OSS) methods enable semantic labeling of image pixels without supervised training with an extensive dataset. They require just one example (image, mask) pair per target class. Most neural-network-based methods train on a large subset of dataset classes and are evaluated…