Enhancing visual communication through representation learning
IntroductionThis research aims to address the challenges in model construction for the Extended Mind for the Design of the Human Environment. Specifically, we employ the ResNet-50, LSTM, and Object Tracking Algorithms approaches to achieve collaborative construction of high-quality virtual assets, i...
Autores principales: | YuHan Wei, ChangWook Lee, SeokWon Han, Anna Kim |
---|---|
Formato: | Artículo |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2024-05-01
|
Colección: | Frontiers in Neuroscience |
Materias: | |
Acceso en línea: | https://www.frontiersin.org/articles/10.3389/fnins.2024.1368733/full |
Ejemplares similares
-
Houseplant leaf classification system based on deep learning algorithms
por: Hersh M. Hama, et al.
Publicado: (2024-04-01) -
A Deep Learning Review of ResNet Architecture for Lung Disease Identification in CXR Image
por: Syifa Auliyah Hasanah, et al.
Publicado: (2023-12-01) -
Detection of Cytopathic Effects Induced by Influenza, Parainfluenza, and Enterovirus Using Deep Convolution Neural Network
por: Jen-Jee Chen, et al.
Publicado: (2021-12-01) -
An improved image processing algorithm for visual characteristics in graphic design
por: Huiying Zhou
Publicado: (2023-05-01) -
Unified deep learning models for enhanced lung cancer prediction with ResNet-50–101 and EfficientNet-B3 using DICOM images
por: Vinod Kumar, et al.
Publicado: (2024-03-01)