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12/01/2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning
In recent years, researchers pay growing attention to the few-shot learn...
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09/16/2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
Few-shot learning (FSL) aims to address the data-scarce problem. A stand...
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09/07/2021
CIM: Class-Irrelevant Mapping for Few-Shot Classification
Few-shot classification (FSC) is one of the most concerned hot issues in...
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10/23/2020
DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization
For classification tasks, dictionary learning based methods have attract...
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10/23/2020
SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning
In recent years, the attention mechanism contributes significantly to hy...
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04/17/2019
Class Specific or Shared? A Hybrid Dictionary Learning Network for Image Classification
Dictionary learning methods can be split into two categories: i) class s...
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03/07/2019
Label Embedded Dictionary Learning for Image Classification
Recently, label consistent k-svd(LC-KSVD) algorithm has been successfull...
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06/09/2014
