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Lidar Semantic Segmentation On Nuscenes

评估指标

val mIoU

评测结果

各个模型在此基准测试上的表现结果

模型名称
val mIoU
Paper TitleRepository
LSK3DNet0.801LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels
RangeFormer-Rethinking Range View Representation for LiDAR Segmentation-
FRNet0.790FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
SphereFormer0.795Spherical Transformer for LiDAR-based 3D Recognition
SPVCNN++-Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
2DPASS-2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
WaffleIron0.791Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation
PMF-ResNet50-EPMF: Efficient Perception-aware Multi-sensor Fusion for 3D Semantic Segmentation
PTv20.802Point Transformer V2: Grouped Vector Attention and Partition-based Pooling
2D3DNet-Learning 3D Semantic Segmentation with only 2D Image Supervision-
Open_world_incremental---
OrangeNet---
PTv3 + PPT0.812Point Transformer V3: Simpler, Faster, Stronger
SPVNAS-Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Camera-LiDAR Fusion + HTC + Map---
AF2S3Net-(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network-
DITR0.842--
Vis-PolarNet---
DB-Unet---
CPFusion---
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