METHOD AND SYSTEM FOR CHANGING STRUCTURE OF DEEP LEARNING MODEL BASED ON CHANGE IN INPUT RESOLUTION

Disclosed are a method and system for changing a structure of a deep learning model based on a change in resolution of input data. The method of changing a structure of a deep learning model may include generating, by the at least one processor, a plurality of input data having different resolution...

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Hauptverfasser:	KIM, Minsu, LEE, Byeongman, YUN, Jae Woong, KIM, Tae-Ho
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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creator	KIM, Minsu LEE, Byeongman YUN, Jae Woong KIM, Tae-Ho
description	Disclosed are a method and system for changing a structure of a deep learning model based on a change in resolution of input data. The method of changing a structure of a deep learning model may include generating, by the at least one processor, a plurality of input data having different resolution by performing various resolution changes on input data having given resolution, performing, by the at least one processor, inference on each of the plurality of generated input data through a deep learning model, checking, by the at least one processor, the size of a feature map output by each of layers included in the deep learning model while the inference is performed, and changing, by the at least one processor, the structure of at least one of the layers based on the checked size of the feature map.
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subjects	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
title	METHOD AND SYSTEM FOR CHANGING STRUCTURE OF DEEP LEARNING MODEL BASED ON CHANGE IN INPUT RESOLUTION
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