.png){kind=icon}
.png){kind=icon}
Return
ProtoSeg: A prototype-based point cloud instance segmentation method
.png){kind=icon}
PRE
AI
DOI：10.1016/j.image.2026.117529.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• We propose a novel prototype-based network architecture for 3D instance segmentation. • Coefficients and prototypes are learnt jointly in parallel to obtain instance masks. • A reciprocal loss was specifically developed. • A module for multi-scale coefficient retrieval, Dilated Point Inception, is presented. • ProtoSeg outperforms SOTA for S3DIS-blocks and PartNet in both time and performance.
Keywords:
prototype-based
3D instance segmentation
point cloud
coefficient learning
multi-scale retrieval
Journal
S
IF:
0
Papers:
71
Citations:
0
Organization
No organization information available