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3D Classification on ScanObjectNN OBJ-ONLY official

93.63AccuracyPoint-RAE
78.622882.518986.41590.3111Sep 25, 2023

Evaluation results

MethodLinks
Point-RAEEvaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0993.63
MVTNYear=2021, Evaluation Protocol=Supervised Learning Only2023.0992.3
ACTYear=2023, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0991.91
I2P-MAEYear=2023, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0991.57
Point-M2AEYear=2022, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0988.81
Point-MAEYear=2022, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0988.29
Point-BERTYear=2022, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0988.12
MaskPointYear=2022, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0988.1
DGCNNYear=2019, Evaluation Protocol=Supervised Learning Only2023.0986.2
PointCNNYear=2018, Evaluation Protocol=Supervised Learning Only2023.0985.5
PointNet++Year=2017, Evaluation Protocol=Supervised Learning Only2023.0984.3
TransformerYear=2017, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.0980.55
PointNetYear=2016, Evaluation Protocol=Supervised Learning Only2023.0979.2