Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy

Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy

We study many-class few-shot (MCFS) problem in both supervised learning and meta-learning settings. Compared to the well-studied many-class many-shot and few-class few-shot problems, the MCFS problem commonly occurs in practical applications but has been rarely studied in previous literature. It bri...

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Bibliographic Details
Main Authors: Jiang, J. (Author), Liu, L. (Author), Long, G. (Author), Zhang, C. (Author), Zhou, T. (Author)
Format: Article
Language:English
Published: IEEE Computer Society 2022
Subjects:
Class hierarchies
class hierarchy
Classification (of information)
Classification networks
Deep learning
Hierarchical classification
Knowledge management
Learning settings
many-class few-shot classification
Many-class few-shot classification
meta-learning
Metalearning
Multi-granularity
Multilayers perceptrons
Neural networks
Personnel training
Shot classification
Supervised learning
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