Learning adaptive classifiers synthesis for generalized few-shot learning

DOI10.1007/S11263-020-01381-4zbMath1483.68451arXiv1906.02944OpenAlexW3155876088MaRDI QIDQ2054407

Han-Jia Ye, De-Chuan Zhan, Hexiang Hu

Publication date: 2 December 2021

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1906.02944

zbMATH Keywords

image recognitionmeta-learningfew-shot learninggeneralized few-shot learningrecognition with heterogeneous visual domain

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Machine vision and scene understanding (68T45)

Uses Software

• ImageNet
• Tensor2Tensor
• Caltech-UCSD Birds
• AlexNet
• BBN

Cites Work

• A Two-Stage Approach to Few-Shot Learning for Image Recognition

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