Cargando…
Feature fusion network based on few-shot fine-grained classification
The objective of few-shot fine-grained learning is to identify subclasses within a primary class using a limited number of labeled samples. However, many current methodologies rely on the metric of singular feature, which is either global or local. In fine-grained image classification tasks, where t...
Autores principales: | Yang, Yajie, Feng, Yuxuan, Zhu, Li, Fu, Haitao, Pan, Xin, Jin, Chenlei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665847/ https://www.ncbi.nlm.nih.gov/pubmed/38023453 http://dx.doi.org/10.3389/fnbot.2023.1301192 |
Ejemplares similares
-
Few-Shot Fine-Grained Image Classification via GNN
por: Zhou, Xiangyu, et al.
Publicado: (2022) -
Feature augmentation based on information fusion rectification for few-shot image classification
por: Wang, Hang, et al.
Publicado: (2023) -
Hybrid Fine-Tuning Strategy for Few-Shot Classification
por: Zhao, Lei, et al.
Publicado: (2022) -
A Multi-Layer Feature Fusion Method for Few-Shot Image Classification
por: Gomes, Jacó C., et al.
Publicado: (2023) -
Boosting Knowledge Base Automatically via Few-Shot Relation Classification
por: Pang, Ning, et al.
Publicado: (2020)