Semantic Segmentation On S3Dis

Métriques

Mean IoU

Number of params

oAcc

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Mean IoU	Number of params	oAcc	Paper Title	Repository
A-CNN	62.9	N/A	87.3	A-CNN: Annularly Convolutional Neural Networks on Point Clouds
DeepViewAgg	74.7	41.2M	90.1	Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
RandLA-Net	-	1.2M	87.1	RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
MinkowskiNet	65.4	37.9M	-	4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
MuGNet	69.8	N/A	88.5	MuGNet: Multi-Resolution Graph Neural Network for Large-Scale Pointcloud Segmentation
EQ-Net	77.5	N/A	-	A Unified Query-based Paradigm for Point Cloud Understanding
Feature Geometric Net (FG-Net)	70.8	N/A	88.2	FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling
Swin3D-L	79.8	N/A	92.4	Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding
JSENet	67.7	N/A	-	JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds
BIM-Net	-	-	-	Fully Automated Scan-to-BIM Via Point Cloud Instance Segmentation
PointCNN	65.4	N/A	88.1	A-CNN: Annularly Convolutional Neural Networks on Point Clouds
PointASNL	68.7	N/A	88.8	PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling
KPConv	70.6	14.1M	-	KPConv: Flexible and Deformable Convolution for Point Clouds
PointCNN	65.4	N/A	-	Point Transformer
BAAF-Net	72.2	N/A	88.9	Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
PPT + SparseUNet	78.1	N/A	92.2	Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training
JSNet	61.7	N/A	88.7	JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
ShellNet	66.8	N/A	-	ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics	-
SPGraph	62.1	N/A	85.5	A-CNN: Annularly Convolutional Neural Networks on Point Clouds
3P-RNN	56.3	N/A	86.9	A-CNN: Annularly Convolutional Neural Networks on Point Clouds

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