Self-Supervised Contrastive Learning for Consistent Few-Shot Image Representations

Sanaz Karimijafarbigloo; Reza Azad; Dorit Merhof

doi:10.1007/978-3-031-74561-4_15

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Self-Supervised Contrastive Learning for Consistent Few-Shot Image Representations

Sanaz Karimijafarbigloo Reza Azad Dorit Merhof

Year: 2024 Lecture notes in computer science Pages: 173-184 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-74561-4_15

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Keywords:

Computer science Shot (pellet) Artificial intelligence Image (mathematics) Natural language processing Computer vision Pattern recognition (psychology) Speech recognition

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Self-Supervised Contrastive Learning for Consistent Few-Shot Image Representations

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