Few-Shot Segmentation Using Multi-Similarity and Attention Guidance

Few-Shot Segmentation Using Multi-Similarity and Attention Guidance

Few-shot segmentation (FSS) methods aim to segment objects of novel classes with relatively few annotated samples. Prototype learning, a popular approach in FSS, employs prototype vectors to transfer information from known classes (support images) to novel classes(query images) for segmentation. How...

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Bibliographic Details
Main Authors: Ehtesham Iqbal, Sirojbek Safarov, Seongdeok Bang, Sajid Javed, Yahya Zweiri, Yusra Abdulrahman
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Computer Society
Subjects:
Few-shot learning
Image segmentation
Deep learning
Online Access:https://ieeexplore.ieee.org/document/11095423/
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