Cargando…
An Improved Convolutional Neural Network Algorithm and Its Application in Multilabel Image Labeling
In today's society, image resources are everywhere, and the number of available images can be overwhelming. Determining how to rapidly and effectively query, retrieve, and organize image information has become a popular research topic, and automatic image annotation is the key to text-based ima...
Autores principales: | Cao, Jianfang, Wu, Chenyan, Chen, Lichao, Cui, Hongyan, Feng, Guoqing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637686/ https://www.ncbi.nlm.nih.gov/pubmed/31354800 http://dx.doi.org/10.1155/2019/2060796 |
Ejemplares similares
-
CM-supplement network model for reducing the memory consumption during multilabel image annotation
por: Cao, Jianfang, et al.
Publicado: (2020) -
Multilabel convolution neural network for facial expression recognition and ordinal intensity estimation
por: Ekundayo, Olufisayo, et al.
Publicado: (2021) -
Fully Automatic Atrial Fibrosis Assessment Using a Multilabel Convolutional Neural Network
por: Razeghi, Orod, et al.
Publicado: (2020) -
Multilabel Image Classification Based Fresh Concrete Mix Proportion Monitoring Using Improved Convolutional Neural Network
por: Yang, Han, et al.
Publicado: (2020) -
Automatic Multilabel Classification of Multiple Fundus Diseases Based on Convolutional Neural Network With Squeeze-and-Excitation Attention
por: Lu, Zhenzhen, et al.
Publicado: (2023)