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...

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Bibliografiska uppgifter
Huvudupphovsmän:	YuHan Wei, ChangWook Lee, SeokWon Han, Anna Kim
Materialtyp:	Artikel
Språk:	English
Publicerad:	Frontiers Media S.A. 2024-05-01
Serie:	Frontiers in Neuroscience
Ämnen:	human environment network science neurology visual communication extended mind ResNet-50
Länkar:	https://www.frontiersin.org/articles/10.3389/fnins.2024.1368733/full

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