Target State Classification by Attention-Based Branch Expansion Network
The intelligent laboratory is an important carrier for the development of the manufacturing industry. In order to meet the technical state requirements of the laboratory and control the particle redundancy, the wearing state of personnel and the technical state of objects are very important observat...
Guardado en:
Autores principales: | Yue Zhang, Shengli Sun, Huikai Liu, Linjian Lei, Gaorui Liu, Dehui Lu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/3098baac85724df995c5b4e67fc49c6a |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Functional connectivity associated with individual differences on the emotional attentional blink task
por: Stephen D. Smith, et al.
Publicado: (2021) -
Fine-Grained Named Entity Recognition Using a Multi-Stacked Feature Fusion and Dual-Stacked Output in Korean
por: Hongjin Kim, et al.
Publicado: (2021) -
A 2-pole winding development technique for asynchronous machines with increased number of parallel branches
por: V.D. Lushchyk, et al.
Publicado: (2014) -
LiteSCANet: An Efficient Lightweight Network Based on Spectral and Channel-Wise Attention for Hyperspectral Image Classification
por: Su Qiao, et al.
Publicado: (2021) -
Diabetic Retinopathy Diagnosis Based on RA-EfficientNet
por: San-Li Yi, et al.
Publicado: (2021)