Semantic Segmentation On Scannet

Metrics

test mIoU

val mIoU

Results

Performance results of various models on this benchmark

Model Name	test mIoU	val mIoU	Paper Title	Repository
LSK3DNet	75.5	75.7	LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels
MSC + SparseUNet	-	75.5	Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning
FCPN	44.7	-	Fully-Convolutional Point Networks for Large-Scale Point Clouds
Tangent Convolutions	44.2	-	Tangent Convolutions for Dense Prediction in 3D
BFANet	-	78.0	-	-
PTv2	75.2	75.4	Point Transformer V2: Grouped Vector Attention and Partition-based Pooling
PointCNN	45.8	-	PointCNN: Convolution On X-Transformed Points
Serialized Piont Mamba	-	76.8	Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model	-
TextureNet	56.6	-	TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
FG-Net	69.0	-	FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling
OctFormer	76.6	75.7	OctFormer: Octree-based Transformers for 3D Point Clouds
3DMV	48.4	-	3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation
PointNet++	33.9	53.5	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
KPConvX-L	-	76.3	KPConvX: Modernizing Kernel Point Convolution with Kernel Attention	-
BPNet	74.9	73.9	Bidirectional Projection Network for Cross Dimension Scene Understanding
StratifiedFormer	73.7	74.3	Stratified Transformer for 3D Point Cloud Segmentation
PPT + SparseUNet	76.6	76.4	Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training
OneFormer3D	-	76.6	OneFormer3D: One Transformer for Unified Point Cloud Segmentation
PTv3 ARKit LabelMaker	79.8	79.1	ARKit LabelMaker: A New Scale for Indoor 3D Scene Understanding
AVS-Net	-	76.1	AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding

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