Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
CSN: Component supervised network for few-shot classification
R Xu, S Shao, L **: An evaluation method for decoupled few-shot classification
Few-shot classification (FSC) has become a significant area of research in recent years. A
prevalent method in this field is the separation of feature representations from classifiers …
prevalent method in this field is the separation of feature representations from classifiers …
SSDL: Self-supervised dictionary learning
S Shao, L **ng, W Yu, R Xu, YJ Wang… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
The label-embedded dictionary learning (DL) algorithms generate influential dictionaries by
introducing discriminative information. However, there exists a limitation: All the label …
introducing discriminative information. However, there exists a limitation: All the label …
D3FC: deep feature-extractor discriminative dictionary-learning fuzzy classifier for medical imaging
Providing accurate and speedy diagnosis and, in turn, treatment, automated medical image
analysis plays a significant role in survival rate improvement. Inherent different kinds of …
analysis plays a significant role in survival rate improvement. Inherent different kinds of …
DLDL: Dynamic label dictionary learning via hypergraph regularization
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 information to …
recent years. One popular way to achieve this purpose is to introduce label information to …
Self-Supervised Dictionary Learning Via Pseudo Label Embedding
Dictionary learning is a classical representation method, which is widely used in a variety of
fields. How to improve the quality of the dictionary is the primary concern for every …
fields. How to improve the quality of the dictionary is the primary concern for every …