TY - GEN
T1 - Occlusion-Aware Manga Character Re-identification with Self-Paced Contrastive Learning
AU - Zhang, Ci Yin
AU - Chu, Wei Ta
N1 - Publisher Copyright:
© 2023 Copyright held by the owner/author(s).
PY - 2023/12/6
Y1 - 2023/12/6
N2 - Existing methods for manga character re-identification primarily rely on facial information, overlooking the unique characteristics of characters’ bodies and failing to address common challenges like occlusion by speech balloons and incomplete body parts. To tackle these issues, we propose a method called Occlusion-Aware Manga Character Re-identification (OAM-ReID) with self-paced contrastive learning, which leverages annotated body data from the Manga109 dataset for training. By synthesizing data with occluded speech balloons and incomplete bodies, we empower the framework to be aware of occlusion, so that more effective feature representations are learnt. Experimental results show that this approach outperforms the state-of-the-art person ReID method.
AB - Existing methods for manga character re-identification primarily rely on facial information, overlooking the unique characteristics of characters’ bodies and failing to address common challenges like occlusion by speech balloons and incomplete body parts. To tackle these issues, we propose a method called Occlusion-Aware Manga Character Re-identification (OAM-ReID) with self-paced contrastive learning, which leverages annotated body data from the Manga109 dataset for training. By synthesizing data with occluded speech balloons and incomplete bodies, we empower the framework to be aware of occlusion, so that more effective feature representations are learnt. Experimental results show that this approach outperforms the state-of-the-art person ReID method.
UR - http://www.scopus.com/inward/record.url?scp=85182949998&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85182949998&partnerID=8YFLogxK
U2 - 10.1145/3595916.3626401
DO - 10.1145/3595916.3626401
M3 - Conference contribution
AN - SCOPUS:85182949998
T3 - Proceedings of the 5th ACM International Conference on Multimedia in Asia, MMAsia 2023
BT - Proceedings of the 5th ACM International Conference on Multimedia in Asia, MMAsia 2023
PB - Association for Computing Machinery, Inc
T2 - 5th ACM International Conference on Multimedia in Asia, MMAsia 2023
Y2 - 6 December 2023 through 8 December 2023
ER -