2 papers
cs.CV2026
Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation
Beomyoung Kim, Sung Ju Hwang
Despite significant advances in image segmentation, even state-of-the-art models produce masks with imperfect boundaries, semantic inconsistencies, and structural errors. Mask refi…
cs.CV2025
ZIM: Zero-Shot Image Matting for Anything
Beomyoung Kim, Chanyong Shin, Joonhyun Jeong +5
The recent segmentation foundation model, Segment Anything Model (SAM), exhibits strong zero-shot segmentation capabilities, but it falls short in generating fine-grained precise m…