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DED-SAM: Data-Efficient Distillation towards light-weight Medical SAM via Diverse, Balanced, Representative Core-Set Selection

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Year: 2024
Type: conference-paper
Source: IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
DOI: 10.1109/bibm62325.2024.10822833
Authors: Jingkun Yue, Siqi Zhang, Huihuan Xu, Tong Tong, Xiaohong Liu, Guangyu Wang
Institutions: Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China Mobile (China), University College London
Language: English

Topic: Advanced Neural Network Applications
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China
OpenAlex ID: W4406238006
FWCI: 0.211
Cites: 32
Cited by: 1
Related to: 10
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