SAPENet: Self-Attention based Prototype Enhancement Network for Few-shot Learning

Xilang Huang; Seon Han Choi

doi:10.1016/j.patcog.2022.109170

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SAPENet: Self-Attention based Prototype Enhancement Network for Few-shot Learning

Xilang Huang Seon Han Choi

Year: 2022 Journal: Pattern Recognition Vol: 135 Pages: 109170-109170 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2022.109170

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Keywords:

Discriminative model Computer science Artificial intelligence Benchmark (surveying) Feature (linguistics) Metric (unit) Pattern recognition (psychology) Class (philosophy) Exploit Channel (broadcasting) Sample (material) Machine learning Feature learning

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

SAPENet: Self-Attention based Prototype Enhancement Network for Few-shot Learning

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