DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeong, Uyoung | - |
dc.contributor.author | Baek, Seungryul | - |
dc.contributor.author | Chang, Hyung Jin | - |
dc.contributor.author | KIM, KWANG IN | - |
dc.date.accessioned | 2023-12-26T06:50:03Z | - |
dc.date.available | 2023-12-26T06:50:03Z | - |
dc.date.created | 2023-12-22 | - |
dc.date.issued | 2023-11-23 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/119654 | - |
dc.description.abstract | Single-stage multi-person human pose estimation (MPPE) methods have shown great performance improvements, but existing methods fail to disentangle features by individual instances under crowded scenes. In this paper, we propose a bounding box-level instance representation learning called BoIR, which simultaneously solves instance detection, instance disentanglement, and instance-keypoint association problems. Our new instance embedding loss provides a learning signal on the entire area of the image with bounding box annotations, achieving globally consistent and disentangled instance representation. Our method exploits multi-task learning of bottom-up keypoint estimation, bounding box regression, and contrastive instance embedding learning, without additional computational cost during inference. BoIR is effective for crowded scenes, outperforming state-of-the-art on COCO val (0.8 AP), COCO test-dev (0.5 AP), CrowdPose (4.9 AP), and OCHuman (3.5 AP). Code will be available at https://github.com/uyoung-jeong/BoIR | - |
dc.language | English | - |
dc.publisher | The British Machine Vision Association | - |
dc.relation.isPartOf | British Machine Vision Conference | - |
dc.relation.isPartOf | Proceedings of the British Machine Vision Conference | - |
dc.title | BoIR: box-supervised instance representation for multi-person pose estimation | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | British Machine Vision Conference | - |
dc.citation.conferenceDate | 2023-11-20 | - |
dc.citation.conferencePlace | UK | - |
dc.citation.conferencePlace | Aberdeen | - |
dc.citation.title | British Machine Vision Conference | - |
dc.contributor.affiliatedAuthor | KIM, KWANG IN | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
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