37 citations · 39 across the 3 of their papers we have counts for
6 papers · 1 filter
CIM: Class-Irrelevant Mapping for Few-Shot Classification
Shuai Shao, Lei Xing, Yixin Chen +3
Few-shot classification (FSC) is one of the most concerned hot issues in recent years. The general setting consists of two phases: (1) Pre-train a feature extraction model (FEM) wi…
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
Shuai Shao, Lei Xing, Yan Wang +4
Few-shot learning (FSL) aims to address the data-scarce problem. A standard FSL framework is composed of two components: (1) Pre-train. Employ the base data to generate a CNN-based…
DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization
Shuai Shao, Mengke Wang, Rui Xu +2
For classification tasks, dictionary learning based methods have attracted lots of attention in recent years. One popular way to achieve this purpose is to introduce label informat…
SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning
Shuai Shao, Rui Xu, Yan-Jiang Wang +2
In recent years, the attention mechanism contributes significantly to hypergraph based neural networks. However, these methods update the attention weights with the network propaga…
Label Embedded Dictionary Learning for Image Classification
Shuai Shao, Yan-Jiang Wang, Bao-Di Liu +2
Recently, label consistent k-svd (LC-KSVD) algorithm has been successfully applied in image classification. The objective function of LC-KSVD is consisted of reconstruction error,…
Class specific or shared? A cascaded dictionary learning framework for image classification
Yan-Jiang Wang, Shuai Shao, Rui Xu +2
Dictionary learning methods can be split into: i) class specific dictionary learning ii) class shared dictionary learning. The difference between the two categories is how to use d…