Zobrazeno 1 - 10 of 1 331 pro vyhledávání: '"LIU Mingyuan"'
2
Report
Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis
Autor: Liu, Mingyuan, Xu, Lu, Liu, Shengnan, Zhang, Jicong
The success of Large Vision Models (LVMs) is accompanied by vast data volumes, which are prohibitively expensive in medical diagnosis.To address this, recent efforts exploit Parameter-Efficient Fine-Tuning (PEFT), which trains a small number of weigh
Externí odkaz: http://arxiv.org/abs/2405.17877
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3
Report
Streamlined Photoacoustic Image Processing with Foundation Models: A Training-Free Solution
Autor: Deng, Handi, Zhou, Yucheng, Xiang, Jiaxuan, Gu, Liujie, Luo, Yan, Feng, Hai, Liu, Mingyuan, Ma, Cheng
Foundation models have rapidly evolved and have achieved significant accomplishments in computer vision tasks. Specifically, the prompt mechanism conveniently allows users to integrate image prior information into the model, making it possible to app
Externí odkaz: http://arxiv.org/abs/2404.07833
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5
Report
Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis
Autor: Liu, Mingyuan, Xu, Lu, Zhang, Jicong
Fueled by deep learning, computer-aided diagnosis achieves huge advances. However, out of controlled lab environments, algorithms could face multiple challenges. Open set recognition (OSR), as an important one, states that categories unseen in traini
Externí odkaz: http://arxiv.org/abs/2307.04541
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6
Akademický článek
Evaluating the capacity of tertiary general hospitals in Beijing to prevent and treat respiratory infectious diseases: a delphi study.
Autor: Hu, Tong1 (AUTHOR), Liu, Mingyuan2 (AUTHOR), Tian, Xin3 (AUTHOR) tianxin_66610@sina.com, Xin, Youqing4 (AUTHOR) yyyyglyjs0@163.com
Publikováno v: BMC Infectious Diseases. 12/18/2024, Vol. 24 Issue 1, p1-11. 11p.
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