首页 /研究 /Unreal mask: one-shot multi-object class-based pose estimation for robotic manipulation using keypoints with a synthetic dataset
MANIPULATION

Unreal mask: one-shot multi-object class-based pose estimation for robotic manipulation using keypoints with a synthetic dataset

Seyed Hassan Zabihifar, Aleksandr Semochkin, Elena V. Seliverstova, Albert Efimov

发表年份
2021
引用次数
8

关键词

Computer scienceArtificial intelligencePoseObject (grammar)Computer visionArtificial neural networkSimplicityClass (philosophy)3D pose estimationRobot

相关论文

查看 MANIPULATION 分类全部论文