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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.
SemanticKITTI
LSK3DNet
ScanNet200
PTv3 ArKitLabelmaker
DALES
KPConv
KITTI-360
DeepViewAgg
SensatUrban
LCPFormer
Toronto-3D
SCF-Net
ScanNet++
PonderV2 + SparseUNet
S3DIS
OneFormer3D
PartNet
CSN
ScribbleKITTI
LiM3D
STPLS3D
KpConv
nuScenes
PTv2
OpenTrench3D
PointVector-XL
Waymo Open Dataset
DITR
RELLIS-3D Dataset
salsanext
Hypersim
PanopticNDT (10cm)
ECLAIR
Res16UNet14C
3D Platelet EM
2D–3D + 3 × 3 × 3