Cargando…
Research on image classification method based on improved multi-scale relational network
Small sample learning aims to learn information about object categories from a single or a few training samples. This learning style is crucial for deep learning methods based on large amounts of data. The deep learning method can solve small sample learning through the idea of meta-learning “how to...
Autores principales: | Zheng, Wenfeng, Liu, Xiangjun, Yin, Lirong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323718/ https://www.ncbi.nlm.nih.gov/pubmed/34395859 http://dx.doi.org/10.7717/peerj-cs.613 |
Ejemplares similares
-
MGACA-Net: a novel deep learning based multi-scale guided attention and context aggregation for localization of knee anterior cruciate ligament tears region in MRI images
por: Awan, Mazhar Javed, et al.
Publicado: (2023) -
Multi-modal affine fusion network for social media rumor detection
por: Fu, Boyang, et al.
Publicado: (2022) -
A multi-division convolutional neural network-based plant identification system
por: Turkoglu, Muammer, et al.
Publicado: (2021) -
A deep learning-based approach for emotional analysis of sports dance
por: Sun, Qunqun, et al.
Publicado: (2023) -
Ordinal losses for classification of cervical cancer risk
por: Albuquerque, Tomé, et al.
Publicado: (2021)