Self-supervised Few-Shot Learning for Semantic Segmentation: An Annotation-Free Approach

Sanaz Karimijafarbigloo; Reza Azad; Dorit Merhof

doi:10.1007/978-3-031-46005-0_14

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Self-supervised Few-Shot Learning for Semantic Segmentation: An Annotation-Free Approach

Sanaz Karimijafarbigloo Reza Azad Dorit Merhof

Year: 2023 Lecture notes in computer science Pages: 159-171 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-46005-0_14

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Keywords:

Computer science Artificial intelligence Annotation Segmentation Image segmentation Graph Automatic image annotation Pattern recognition (psychology) Machine learning Image retrieval Image (mathematics) Theoretical computer science

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Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Self-supervised Few-Shot Learning for Semantic Segmentation: An Annotation-Free Approach

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Citation History

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