Dual Prototype Learning for Few Shot Semantic Segmentation

Dual Prototype Learning for Few Shot Semantic Segmentation

Few-shot segmentation (FSS) is a challenging task because the same class of targets in the support and query images may have different scales, textures and background information. Prototype learning (PL) is a current mainstream FSS method, which characterizes the interaction between the prototype ve...

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Bibliographic Details
Main Authors: Wenxuan Li, Shaobo Chen, Chengyi Xiong
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Few-shot learning
semantic segmentation
first-order prototype
second-order prototype
Online Access:https://ieeexplore.ieee.org/document/10382511/

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