3D Semantic Segmentation
3D Semantic Segmentation is a task in the field of computer vision that focuses on dividing 3D point clouds or 3D meshes into parts or regions with semantic significance. Its primary goal is to identify and label different objects and components within a 3D scene, providing crucial support for applications such as robotics, autonomous driving, and augmented reality.
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