Suho Park — accepted AI-conference papers

2025

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation

Suho Park, SuBeen Lee, Hyun Seok Seong, Jaejoon Yoo, Jae-Pil Heo

AAAI 2025technical

We propose Foreground-Covering Prototype Generation and Matching to resolve Few-Shot Segmentation (FSS), which aims to segment target regions in unlabeled query images based on labeled support images. Unlike previous research, which typically estimates target regions in the query using support proto…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2024

Task-Disruptive Background Suppression for Few-Shot Segmentation

Suho Park, SuBeen Lee, Sangeek Hyun, Hyun Seok Seong, Jae-Pil Heo

AAAI 2024technical

Few-shot segmentation aims to accurately segment novel target objects within query images using only a limited number of annotated support images. The recent works exploit support background as well as its foreground to precisely compute the dense correlations between query and support. However, the…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗