Method, system and computer program for coloring based on deep learning

Abstract

A deep learning-based coloring system includes a memory network configured to provide a color feature in response to a specific query and a coloring network configured to perform coloring, based on the color feature generated by the memory network. The memory network includes: a query generation unit configured to generate a query; a neighbor calculation unit configured to calculate k-nearest neighbors, based on similarities between the query and key memory values; a color feature determination unit configured to generate color features for indicating color information stored in the key memory; a threshold triplet loss calculation unit configured to calculate a threshold triplet loss, based on a comparison between a threshold and a distance between the color features; and a memory update unit configured to update a memory, based on whether a distance between a top value and a value of a newly input query is within the threshold.