Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
Статья

SG-CLR: Semantic representation-guided contrastive learning for self-supervised skeleton-based action recognition

Ruyi LiuKey Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xi’an, 710071, Shaanxi, ChinaYi LiuKey Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xi’an, 710071, Shaanxi, ChinaMengyao WuKey Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xi’an, 710071, Shaanxi, ChinaWentian XinInformation Science and Technology College, Dalian Maritime University, Dalian, 116026, Liaoning, ChinaQiguang MiaoKey Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xi’an, 710071, Shaanxi, ChinaXiangzeng LiuKey Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xi’an, 710071, Shaanxi, ChinaLong LiGuangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China
2025en
ABI

Аннотация

Аннотация отсутствует.

Идентификаторы

Цитирования и источники

Цитирований: 2Использованных источников: 0