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3D Semantic Segmentation On Semantickitti

Metrics

test mIoU

Results

Performance results of various models on this benchmark

Paper Title
LSK3DNet75.6%LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels
PPT+PTv375.5%Point Transformer V3: Simpler, Faster, Stronger
UniSeg75.2%UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase
SphereFormer74.8%Spherical Transformer for LiDAR-based 3D Recognition
DITR74.4%DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation
FRNet73.3%FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
RangeFormer73.3%Rethinking Range View Representation for LiDAR Segmentation
2DPASS72.9%2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
PTv272.6%Point Transformer V2: Grouped Vector Attention and Partition-based Pooling
PVKD71.2%Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation
WaffleIron70.8%Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation
AF2S3Net70.8%(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
Cylinder3D68.9%Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
SPVNAS66.4%Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
JS3C-Net66.0%Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
GFNet65.4%GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation
TORNADONet-HiRes63.1%TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module
KPRNet63.1%KPRNet: Improving projection-based LiDAR semantic segmentation
NAPL61.6%Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation
Meta-RangeSeg61.0%Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation
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3D Semantic Segmentation On Semantickitti | SOTA | HyperAI