Meta-seg: A survey of meta-learning for image segmentation

作者：

Highlights：

• A comprehensive review on image segmentation with meta-learning.

• Reviewing existing the-state-of-art meta-learning methods.

• A comprehensive benchmark study of Covid-19 image segmentation based on meta-learning.

• Summarizing cutting-edge research and highlighting future directions of meta-learning in image segmentation.

摘要

•A comprehensive review on image segmentation with meta-learning.•Reviewing existing the-state-of-art meta-learning methods.•A comprehensive benchmark study of Covid-19 image segmentation based on meta-learning.•Summarizing cutting-edge research and highlighting future directions of meta-learning in image segmentation.

论文关键词：Deep learning,Image segmentation,Meta-learning,Computer vision

论文评审过程：Received 12 October 2020, Revised 19 February 2021, Accepted 26 March 2021, Available online 12 February 2022, Version of Record 20 February 2022.

论文官网地址：https://doi.org/10.1016/j.patcog.2022.108586