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...
Автори: | YuHan Wei, ChangWook Lee, SeokWon Han, Anna Kim |
---|---|
Формат: | Стаття |
Мова: | English |
Опубліковано: |
Frontiers Media S.A.
2024-05-01
|
Серія: | Frontiers in Neuroscience |
Предмети: | |
Онлайн доступ: | https://www.frontiersin.org/articles/10.3389/fnins.2024.1368733/full |
Схожі ресурси
Схожі ресурси
-
Houseplant leaf classification system based on deep learning algorithms
за авторством: Hersh M. Hama, та інші
Опубліковано: (2024-04-01) -
A Deep Learning Review of ResNet Architecture for Lung Disease Identification in CXR Image
за авторством: Syifa Auliyah Hasanah, та інші
Опубліковано: (2023-12-01) -
Detection of Cytopathic Effects Induced by Influenza, Parainfluenza, and Enterovirus Using Deep Convolution Neural Network
за авторством: Jen-Jee Chen, та інші
Опубліковано: (2021-12-01) -
An improved image processing algorithm for visual characteristics in graphic design
за авторством: Huiying Zhou
Опубліковано: (2023-05-01) -
Unified deep learning models for enhanced lung cancer prediction with ResNet-50–101 and EfficientNet-B3 using DICOM images
за авторством: Vinod Kumar, та інші
Опубліковано: (2024-03-01)