Incorporation of Extra Pseudo Labels for CNN-based Gait Recognition
| dc.contributor.author | Daigo Muramatsu, Kousuke Moriwaki | |
| dc.contributor.editor | Brömme, Arslan | |
| dc.contributor.editor | Damer, Naser | |
| dc.contributor.editor | Gomez-Barrero, Marta | |
| dc.contributor.editor | Raja, Kiran | |
| dc.contributor.editor | Rathgeb, Christian | |
| dc.contributor.editor | Sequeira Ana F. | |
| dc.contributor.editor | Todisco, Massimiliano | |
| dc.contributor.editor | Uhl, Andreas | |
| dc.date.accessioned | 2022-10-27T10:19:28Z | |
| dc.date.available | 2022-10-27T10:19:28Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | CNN is a major model used for image-based recognition tasks, including gait recognition, and many CNN-based network structures and/or learning frameworks have been proposed. Among them, we focus on approaches that use multiple labels for learning, typified by multi-task learning. These approaches are sometimes used to improve the accuracy of the main task by incorporating extra labels associated with sub-tasks. The incorporated labels for learning are usually selected from real tasks heuristically; for example, gender and/or age labels are incorporated together with subject identity labels.We take a different approach and consider a virtual task as a sub-task, and incorporate pseudo output labels together with labels associated with the main task and/or real task. In this paper, we focus on a gait-based person recognition task as the main task, and we discuss the effectiveness of virtual tasks with different pseudo labels for construction of a CNN-based gait feature extractor. | en |
| dc.identifier.doi | 10.1109/BIOSIG55365.2022.9897053 | |
| dc.identifier.isbn | 978-3-88579-723-4 | |
| dc.identifier.pissn | 1617-5488 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/39698 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | BIOSIG 2022 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-329 | |
| dc.subject | Gait Recognition | |
| dc.subject | Attribute | |
| dc.subject | Pseudo label | |
| dc.subject | CNN | |
| dc.title | Incorporation of Extra Pseudo Labels for CNN-based Gait Recognition | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 220 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 213 | |
| gi.conference.date | 14.-16. September 2022 | |
| gi.conference.location | Darmstadt | |
| gi.conference.sessiontitle | Further Conference Contributions |
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