Character Representation Adaption in Individual Manga

Abstract

Our goal is character clustering of individual manga with bounding boxes of characters’ faces and frames. We propose a method to adapt character representations to individual manga for clustering. We use deep metric learning by making positive and negative pairs considering manga specific nature that the same character tends to appear in the near page and the characters in the same frame almost always differ. We showed that adapting to individual manga improves the accuracy of clustering.