Adaptive similarity-guided self-merging network for few-shot semantic segmentation-Reference-Cited by-同舟云学术

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Adaptive similarity-guided self-merging network for few-shot semantic segmentation

Published:2024-10 Issue: Volume:119 Page:109527
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Liu Yu,Guo Yingchun^ORCID,Zhu Ye,Yu Ming

Publisher

Elsevier BV

Reference53 articles.

1. Fully convolutional networks for semantic segmentation;Shelhamer;IEEE Trans Pattern Anal Mach Intell,2017

2. Review the state-of-the-art technologies of semantic segmentation based on deep learning;Mo;Neurocomputing,2022

3. Methods and datasets on semantic segmentation: a review;Yu;Neurocomputing,2018

4. Multi-task contexture learning network for automated vertebrae segmentation and tumor diagnosis from MRI;Chang;Comput Electr Eng,2024

5. Rethinking few-shot medical segmentation: a vector quantization view;Huang,2023

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