Cargando…
A localization strategy combined with transfer learning for image annotation
This study aims to solve the overfitting problem caused by insufficient labeled images in the automatic image annotation field. We propose a transfer learning model called CNN-2L that incorporates the label localization strategy described in this study. The model consists of an InceptionV3 network p...
Autores principales: | Chen, Zhiqiang, Rajamanickam, Leelavathi, Cao, Jianfang, Zhao, Aidi, Hu, Xiaohui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654185/ https://www.ncbi.nlm.nih.gov/pubmed/34879097 http://dx.doi.org/10.1371/journal.pone.0260758 |
Ejemplares similares
-
Automatic image annotation method based on a convolutional neural network with threshold optimization
por: Cao, Jianfang, et al.
Publicado: (2020) -
Fuzzy Emotional Semantic Analysis and Automated Annotation of Scene Images
por: Cao, Jianfang, et al.
Publicado: (2015) -
Application of a Modified Generative Adversarial Network in the Superresolution Reconstruction of Ancient Murals
por: Cao, Jianfang, et al.
Publicado: (2020) -
CM-supplement network model for reducing the memory consumption during multilabel image annotation
por: Cao, Jianfang, et al.
Publicado: (2020) -
Transfer learning: The key to functionally annotate the protein universe
por: Bugnon, Leandro A., et al.
Publicado: (2023)