Generative Multi-Stream Architecture For American Sign Language Recognition

With advancements in deep model architectures, tasks in computer vision can reach optimal convergence provided proper data preprocessing and model parameter initialization. However, training on datasets with low feature-richness for complex applications limit and detriment optimal convergence below...

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Veröffentlicht in:	arXiv.org 2020-03
Hauptverfasser:	Huh, Dom, Gurrapu, Sai, Olson, Frederick, Rangwala, Huzefa, Pathak, Parth, Kosecka, Jana
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Computer vision Convergence Datasets Hardware Human performance Three dimensional models Training
Online-Zugang:	Volltext
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