8 citations · 11 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
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…
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts
Sai Ashish Somayajula, Youwei Liang, Abhishek Singh +2
Pretrained Language Models (PLMs) have advanced Natural Language Processing (NLP) tasks significantly, but finetuning PLMs on low-resource datasets poses significant challenges suc…
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM
Li Zhang, Youwei Liang, Ruiyi Zhang +2
The Segment Anything Model (SAM), a foundation model pretrained on millions of images and segmentation masks, has significantly advanced semantic segmentation, a fundamental task i…