Deep3DRanker: A Novel Framework for Learning to Rank 3D Models with Self-Attention in Robotic Vision
Frank Po Wen Lo,Yao Guo,Yingnan Sun,Jianing Qiu,Benny Lo,Frank Po Wen Lo,Yao Guo,Yingnan Sun,Jianing Qiu,Benny Lo
Research on generating or processing point clouds has become an increasingly popular domain in robotic research due to its extensive applications, such as robotic grasping, augmented reality and autonomous vehicle navigation. In this paper, we explore a new research area on point clouds - Learning to rank 3D models captured from a single depth image. In the Learning To Rank (LTR) task, we aim at o...
