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Learning to Understand Large-Scale 3D Point Clouds - Coggle Diagram
Learning to Understand
Large-Scale 3D Point Clouds
Fully Supervision
Volumetric-based Networks
SparseConvNet (CVPR'18)
MinkowskiNet (CVPR'19)
SegCloud (3DV'17)
Point-based Networks
PointNet (CVPR'17)
PointNet++ (NeurIPS'17)
KPConv (ICCV'19)
RandLA-Net (CVPR'20) :red_flag:
Projection-based Networks
TagentConv (CVPR'18)
SqueezeSegV3 (ECCV'20)
SnapNet (3DOR'17)
Weak Supervision
Self-Supervision
PointContrast (ECCV'20)
SceneContrast (CVPR'21)
OcCo (ICCV'21)
Limited Indirect Annotations
SegGroup (TIP'22)
LDLS (RAL'19)
MPRM (CVPR'20)
Limited Point Annotations
OTOC (CVPR'21)
SQN (ECCV'22) :red_flag:
PSD (CVPR'21)
Datasets
Indoor Scene-Level 3D Scans
ScanNet (CVPR'17)
S3DIS (CVPR'17)
Matterport3D (3DV'17)
Outdoor Roadway-Level 3D Scenes
Toronto3D (CVPRW'20)
SemanticKITTI (ICCV'19)
Semantic3D (ISPRS'17)
Object-Level 3D Models
ShapeNet (Arxiv'15)
ModelNet (CVPR'15)
Urban-level Aerial 3D Point Clouds
DALES (CVPRW'20)
DublinCity (BMVC'19)
SensatUrban (CVPR'21) :red_flag: