一种基于几何驱动的自监督人体3D姿态估计网络训练方法
关注'%3e%3cg%3e%3cpath%20d='M18,16L13,16L10,19L7,16L2,16L2,3L18,3L18,16ZM12.3787,14.5L10,16.878700000000002L7.62132,14.5L3.5,14.5L3.5,4.5L16.5,4.5L16.5,14.5L12.3787,14.5Z'%20fill-rule='evenodd'%20fill='%23FFFFFF'%20fill-opacity='1'/%3e%3c/g%3e%3cg%3e%3cg%3e%3cellipse%20cx='6'%20cy='9.5'%20rx='1'%20ry='1'%20fill='%23FFFFFF'%20fill-opacity='1'/%3e%3c/g%3e%3cg%3e%3cellipse%20cx='10'%20cy='9.5'%20rx='1'%20ry='1'%20fill='%23FFFFFF'%20fill-opacity='1'/%3e%3c/g%3e%3cg%3e%3cellipse%20cx='14'%20cy='9.5'%20rx='1'%20ry='1'%20fill='%23FFFFFF'%20fill-opacity='1'/%3e%3c/g%3e%3c/g%3e%3c/g%3e%3c/svg%3e)
联系合作 新一代信息技术
人形机器人
脑科学与脑机接口
成果单位： 北京理工大学
合作方式： 自行实施合作开发技术转让技术许可技术入股
所处阶段： 概念
关键词： 人工智能计算机视觉人体3D姿态几何驱动自监督学习变换重投影多视角一致性根节点估计尺度信息保留网络预训练
总得分（满分100）
0
资本强度（满分0）
该成果得分：0
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成果公开日期
所属产业领域
转化现有基础
转化合作需求
转化意向范围
转化预期效益
项目名称
项目课题来源
摘要
试试对话AI技术经理
WENXIAOGUO
问小果
该成果有哪些相似成果？
该成果可能有哪些需求方？
该成果的市场前景如何？
北京理工大学的相关成果还有哪些？
