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Lidar Semantic Segmentation On Nuscenes

評価指標

val mIoU

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
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-
DITR0.842DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation-
Vis-PolarNet---
DB-Unet---
CPFusion---
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Lidar Semantic Segmentation On Nuscenes | SOTA | HyperAI超神経