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SOTA
Semantic Segmentation
Semantic Segmentation On Shapenet
Semantic Segmentation On Shapenet
Metrics
Mean IoU
Results
Performance results of various models on this benchmark
Columns
Model Name
Mean IoU
Paper Title
PatchFormer
86.5%
PatchFormer: An Efficient Point Transformer with Patch Attention
SGPN
85.8%
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
JSNet
85.8%
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
Point-PlaneNet
85.1
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis
PointNet++
84.6%
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
0 of 5 row(s) selected.
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