3 papers
cs.CV2026
BLO-Inst: Bi-Level Optimization Based Alignment of YOLO and SAM for Robust Instance Segmentation
Li Zhang, Pengtao Xie
The Segment Anything Model has revolutionized image segmentation with its zero-shot capabilities, yet its reliance on manual prompts hinders fully automated deployment. While integ…
cs.CV2024
AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model
Yuchen Li, Li Zhang, Youwei Liang +1
Segment Anything Model (SAM) has gained significant recognition in the field of semantic segmentation due to its versatile capabilities and impressive performance. Despite its succ…
eess.IV2024
Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes
Li Zhang, Basu Jindal, Ahmed Alaa +5
Semantic segmentation of medical images is pivotal in applications like disease diagnosis and treatment planning. While deep learning has excelled in automating this task, a major…