research
∙
12/01/2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning
In recent years, researchers pay growing attention to the few-shot learn...
share
research
∙
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...
research
∙
09/07/2021
CIM: Class-Irrelevant Mapping for Few-Shot Classification
Few-shot classification (FSC) is one of the most concerned hot issues in...
research
∙
10/23/2020
DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization
For classification tasks, dictionary learning based methods have attract...
research
∙
10/23/2020
SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning
In recent years, the attention mechanism contributes significantly to hy...
research
∙
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...
research
∙
03/07/2019
