Commit e0c28a15 authored by ujjmv's avatar ujjmv
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parent 62280d54
......@@ -92,7 +92,7 @@ First we need to build a network capable of zero-shot learning for gesture recog
\end{figure}
\subsection{Architecture}
The architecture chosen for our experiments largely corresponds to the model presented in \cite{jasani2019skeleton}. We tried to reengineer it from its individual modules using the information published in the paper. Certain modules were replaced or slightly modified in favor of better performance for our specific task. Detailed information on the model used (which is illustrated in \ref{architecture}) can be taken from the publication of Jas. et. al \cite{jasani2019skeleton}. Here, only a brief overview of the functionality is given, explaining how the model tries to solve the zero-shot task, and which changes have been made compared to \cite{jasani2019skeleton}.
The architecture chosen for our experiments largely corresponds to the model presented in \cite{jasani2019skeleton}. We tried to reverse engineer it from its individual modules using the information published in the paper. Certain modules were replaced or slightly modified in favor of better performance for our specific task. Detailed information on the model used (which is illustrated in \ref{architecture}) can be taken from the publication of Jas. et. al \cite{jasani2019skeleton}. Here, only a brief overview of the functionality is given, explaining how the model tries to solve the zero-shot task, and which changes have been made compared to \cite{jasani2019skeleton}.
The architecture consists of three parts described in the following sections.
\subsubsection{Visual path}
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