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ResearchFormerly WizWand

3D Classification on ScanObjectNN PB-T50-RS official

93.87AccuracyHybridNet
66.965273.950180.93587.9199Sep 25, 2023Nov 26, 2023Jan 27, 2024Mar 29, 2024May 30, 2024Jul 31, 2024Oct 1, 2024
Updated 8mo ago

Evaluation results

MethodLinks
HybridNetPT=MAP, #P=19.3, #F=4.4, Voting Strategy=w/ vot.2024.1093.87
Mamba3dPT=MAP, #P=16.9, #F=3.9, Voting Strategy=w/ vot.2024.1093.76
Mamba3dPT=Point-MAE, #P=16.9, #F=3.9, Voting Strategy=w/ vot.2024.1093.05
HybridNetPT=MAP, #P=19.3, #F=4.4, Voting Strategy=w/o vot.2024.1092.95
HybridNetPT=None, #P=19.3, #F=4.4, Voting Strategy=w/ vot.2024.1092.66
Mamba3dPT=MAP, #P=16.9, #F=3.9, Voting Strategy=w/o vot.2024.1092.65
Mamba3dPT=None, #P=16.9, #F=3.9, Voting Strategy=w/ vot.2024.1092.64
Mamba3dPT=Point-MAE, #P=16.9, #F=3.9, Voting Strategy=w/o vot.2024.1092.05
HybridNetPT=None, #P=19.3, #F=4.4, Voting Strategy=w/o vot.2024.1091.97
Mamba3dPT=None, #P=16.9, #F=3.9, Voting Strategy=w/o vot.2024.1091.81
Point-RAEEvaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0990.28
I2P-MAEYear=2023, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0990.11
Mamba3dPT=Point-BERT, #P=16.9, #F=3.9, Voting Strategy=w/o vot.2024.1090.11
P2P-HorNetYear=2022, Evaluation Protocol=Supervised Learning Only2023.0989.3
ACTYear=2023, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0988.21
P2P-RN101Year=2022, Evaluation Protocol=Supervised Learning Only2023.0987.4
Point-M2AEYear=2022, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0986.43
Point-M2AEPT=Point-M2AE, #P=15.3, #F=3.62024.1086.43
Point-MAEYear=2022, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0985.18
TransformerPT=Point-MAE, #P=22.1, #F=4.82024.1085.18
TransformerPT=Point-MAE, #P=22.1+1.7, #F=4.82024.1084.94
PointMambaPT=Point-MAE, #P=12.3, #F=3.62024.1084.87
MaskPointYear=2022, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0984.3
TransformerPT=MaskPoint, #P=22.1, #F=4.82024.1084.3
TransformerPT=Point-BERT, #P=22.1+1.7, #F=4.82024.1083.69
Point-BERTYear=2022, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0983.07
MVTNYear=2021, Evaluation Protocol=Supervised Learning Only2023.0982.8
MVTNPT=None, #P=11.2, #F=43.72024.1082.8
PointMambaPT=None, #P=12.3, #F=3.62024.1082.48
GBNetYear=2021, Evaluation Protocol=Supervised Learning Only2023.0981
PRA-NetYear=2021, Evaluation Protocol=Supervised Learning Only2023.0981
TransformerPT=OcCo, #P=22.1, #F=4.82024.1078.79
PointCNNYear=2018, Evaluation Protocol=Supervised Learning Only2023.0978.5
PointCNNPT=None, #P=0.62024.1078.5
DGCNNYear=2019, Evaluation Protocol=Supervised Learning Only2023.0978.1
DGCNNPT=None, #P=1.8, #F=2.42024.1078.1
PointNet++Year=2017, Evaluation Protocol=Supervised Learning Only2023.0977.9
PointNet++PT=None, #P=1.5, #F=1.72024.1077.9
TransformerYear=2017, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0977.24
TransformerPT=None, #P=22.1, #F=4.82024.1077.24
PointNetYear=2016, Evaluation Protocol=Supervised Learning Only2023.0968
PointNetPT=None, #P=3.5, #F=0.52024.1068