POST-PROCESSING APPARATUS FOR A MULTI-TASK DEEP LEARNING MODEL AND A METHOD THEREOF

A post-processing apparatus includes storage that stores a multi-task learning model. The post-processing apparatus also includes a controller that may generate a first entropy image from an output image of a first deep neural network (DNN) within the multi-task learning model. The controller may al...

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Bibliographische Detailangaben
Hauptverfasser: Yoon, Min Young, Kim, Jin Sol
Format: Patent
Sprache:eng
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Zusammenfassung:A post-processing apparatus includes storage that stores a multi-task learning model. The post-processing apparatus also includes a controller that may generate a first entropy image from an output image of a first deep neural network (DNN) within the multi-task learning model. The controller may also generate a second entropy image from an output image of a second DNN in the multi-task learning model. The controller may post-process the output image of the first DNN based on the first entropy image and the second entropy image.