3D Instance Segmentation On Scannetv2

评估指标

mAP
mAP @ 50
mRec

评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
Spherical Mask61.681.2-Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation
BFL60.681.0-Beyond the Final Layer: Hierarchical Query Fusion Transformer with Agent-Interpolation Initialization for 3D Instance Segmentation-
OneFromer3D56.680.1-OneFormer3D: One Transformer for Unified Point Cloud Segmentation
MSTA3D56.979.574.1MSTA3D: Multi-scale Twin-attention for 3D Instance Segmentation-
QueryFormer58.378.7-Query Refinement Transformer for 3D Instance Segmentation-
Mask3D55.278.0-Mask3D: Mask Transformer for 3D Semantic Instance Segmentation
SPFormer54.977.0-Superpoint Transformer for 3D Scene Instance Segmentation
ISBNet55.976.3-ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution
SoftGroup50.476.1-SoftGroup for 3D Instance Segmentation on Point Clouds
TD3D48.975.1-Top-Down Beats Bottom-Up in 3D Instance Segmentation-
PBNet57.374.7-Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization
DKNet53.271.8-3D Instances as 1D Kernels
ODIN50.071.0-ODIN: A Single Model for 2D and 3D Segmentation
HAIS45.769.9-Hierarchical Aggregation for 3D Instance Segmentation
SSTNet50.669.8-Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks
MaskGroup43.466.4-MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation-
RPGN42.864.2-Learning Regional Purity for Instance Segmentation on 3D Point Clouds-
GICN-63.8-Learning Gaussian Instance Segmentation in Point Clouds
PointGroup40.763.6-PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
HIDA43.663.5-HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor-
0 of 31 row(s) selected.
3D Instance Segmentation On Scannetv2 | SOTA | HyperAI超神经