Enhancing visual communication through representation learning

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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser:	YuHan Wei, ChangWook Lee, SeokWon Han, Anna Kim
Format:	Artikel
Sprache:	English
Veröffentlicht:	Frontiers Media S.A. 2024-05-01
Schriftenreihe:	Frontiers in Neuroscience
Schlagworte:	human environment network science neurology visual communication extended mind ResNet-50
Online Zugang:	https://www.frontiersin.org/articles/10.3389/fnins.2024.1368733/full

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