Base de Datos Tiempo por iteración 300W Pública 20 segundos 300W Privada 24 segundos Menpo 27 segundos COFW 3 segundos
AFLW 69 segundos
Con unos tiempos como los estimados en la tabla 14 se pueden probar alternativas mucho más rápidamente. Por otro lado se podría probar a introducir nuevas etapas de entrenamiento sin que fuese tan costoso computacionalmente.
Para conseguir analizar mejor cada punto, se propone realizar el entrenamiento de distintos modelos de redes neuronales donde cada uno de ellos se centrase en una zona concreta de la cara. Para ello habría que entrenar varios modelos que solo observen una serie determinada de puntos del conjunto total. Mediante esta especialización se espera poder mejorar los resultados obtenidos con esta red general que predice todas las partes de la cara.
Por último se propone realizar un entrenamiento juntando distintas bases de datos ya que, en este trabajo, se ha adaptado la función de pérdidas para poder trabajar con falta de etiquetas y, por tanto, se podrían juntar bases de datos con distinto número de etiquetas.
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