Pyramid Co-Attention Compare Network for Few-Shot Segmentation

Pyramid Co-Attention Compare Network for Few-Shot Segmentation

Few-shot segmentation (FSS), which aims to extract never learned classes of objects from <italic>query</italic> images with a few annotated <italic>support</italic> samples, is a challenging problem especially in the cases that the appearance of objects in the <italic>s...

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Bibliographic Details
Main Authors: Defu Zhang, Ronghua Luo, Xuebin Chen, Lingwei Chen
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
few-shot segmentation
image segmentation
machine learning
Online Access:https://ieeexplore.ieee.org/document/9562532/

Internet

https://ieeexplore.ieee.org/document/9562532/

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