Knowing What to Label for Few Shot Microscopy Image Cell Segmentation

Author:

Dawoud Youssef1,Bouazizi Arij1,Ernst Katharina2,Carneiro Gustavo3,Belagiannis Vasileios4

Affiliation:

1. Universität Ulm,Ulm,Germany

2. Ulm University Medical Center,Ulm,Germany

3. University of Surrey,Centre for Vision, Speech and Signal Processing,United Kingdom

4. Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen,Germany

Publisher

IEEE

Reference43 articles.

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3. Modelagnostic meta-learning for fast adaptation of deep networks;finn;International Conference on Machine Learning,2017

4. Scikit-learn: Machine learning in python;pedregosa;The Journal of Machine Learning Research,2011

5. Deep bayesian active learning with image data;gal;International Conference on Machine Learning,2017

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

2. One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual Prompt;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

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