Few-shot learning based on hierarchical classification via multi-granularity relation networks
type: Item
instance of: scholarly article
title: Few-shot learning based on hierarchical classification via multi-granularity relation networks
author: Yuling Su
author: Hong Zhao
author: Yaojin Lin
published in: International Journal of Approximate Reasoning
publication date: 2022-02-22T00:00:00Z
Mathematics Subject Classification ID: 68T37
zbMATH DE Number: 7478958
zbMATH Keywords: few-shot learning
zbMATH Keywords: hierarchical classification
zbMATH Keywords: multi-granularity
zbMATH Keywords: relation network
describes a project that uses: Omniglot
describes a project that uses: WordNet
describes a project that uses: ImageNet
MaRDI profile type: Publication
full work available at URL: j.ijar.2021.12.013
OpenAlex ID: W4200541557
cites work: Human-level concept learning through probabilistic program induction
cites work: Three-way cognitive concept learning via multi-granularity
cites work: Sequential three-way decisions via multi-granularity
cites work: Local multigranulation decision-theoretic rough sets
cites work: A survey of hierarchical classification across different application domains
DOI: 10.1016/J.IJAR.2021.12.013
description: scientific article; zbMATH DE number 7478958