3D Semantic Segmentation
3D Semantic Segmentation 是计算机视觉领域的一项任务,专注于将3D点云或3D网格划分为具有语义意义的部分或区域。其核心目标是识别和标注3D场景中的不同对象和组成部分,为机器人技术、自动驾驶和增强现实等应用提供关键支持。
3D Platelet EM
2D–3D + 3 × 3 × 3
DALES
KPConv
ECLAIR
Res16UNet14C
Hypersim
PanopticNDT (10cm)
KITTI-360
DA-supervised
nuScenes
PTv2
OpenTrench3D
PointVector-XL
PartNet
CSN
RELLIS-3D Dataset
salsanext
S3DIS
OneFormer3D
ScanNet++
PTv3 + PPT
ScanNet200
PTv3 ArKitLabelmaker
ScribbleKITTI
LiM3D
SemanticKITTI
LSK3DNet
SensatUrban
LCPFormer
STPLS3D
KpConv
Toronto-3D
SCF-Net
Waymo Open Dataset
DITR