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ResearchFormerly WizWand

3D Object Classification on ModelNet40 1k P

94.8AccuracyPoint2Vec
83.67286.56189.4592.339Sep 24, 2024Dec 6, 2024Feb 18, 2025May 2, 2025Jul 15, 2025Sep 26, 2025Dec 9, 2025
Updated 8mo ago

Evaluation results

MethodLinks
Point2VecPre-training Epochs=300, Training Paradigm=SSRL2024.0994.8
PointMLP2025.1294.5
Point-FEMAE2025.1294.5
PointLAMA2025.1294.5
ReCon2025.1294.5
IAE (DGCNN)#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=FULL SSL2025.1294.2
IAE (M2AE)#Params(M)=15.3, GFLOPS=3.6, Evaluation Protocol=FULL SSL2025.1294.2
CSCon2025.1294.1
I2P-MAE2025.1294.1
PointMLP#Params(M)=12.6, GFLOPS=31.4, Evaluation Protocol=Supervised2025.1294.1
IAE (M2AE)#Params(M)=15.3, GFLOPS=3.6, Evaluation Protocol=FULL SSL, pre-training mesh=w/o mesh2025.1294.1
PointNeXtPre-training Epochs=N/A, Training Paradigm=Supervised Learning Only2024.0994
Point-M2AEPre-training Epochs=300, Training Paradigm=SSRL2024.0994
3D-JEPAPre-training Epochs=300, Training Paradigm=SSRL2024.0994
P2P-HorNet2025.1294
Point-M2AE2025.1294
PointGPT2025.1294
Point-PQAE2025.1294
Joint-MAE2025.1294
Point-M2AE#Params(M)=15.3, GFLOPS=3.6, Evaluation Protocol=FULL SSL2025.1294
ViPFormerPre-training Epochs=300, Training Paradigm=SSRL2024.0993.9
SimpleView2025.1293.9
Point-MAEPre-training Epochs=300, Training Paradigm=SSRL2024.0993.8
3D-JEPAPre-training Epochs=150, Training Paradigm=SSRL2024.0993.8
MVTN2025.1293.8
MaskPoint2025.1293.8
Point-MAE2025.1293.8
GBNet#Params(M)=8.8, Evaluation Protocol=Supervised2025.1293.8
Point-MAE#Params(M)=22.1, GFLOPS=4.8, Evaluation Protocol=FULL SSL2025.1293.8
ACTPre-training Epochs=300, Training Paradigm=SSRL2024.0993.7
ACT2025.1293.7
Point-CMAE2025.1293.6
3D-OAEPre-training Epochs=300, Training Paradigm=SSRL2024.0993.4
Point-BERTPre-training Epochs=300, Training Paradigm=SSRL2024.0993.2
Point-BERT2025.1293.2
PointNeXt#Params(M)=1.4, GFLOPS=3.6, Evaluation Protocol=Supervised2025.1293.2
Point-BERT#Params(M)=22.1, GFLOPS=4.8, Evaluation Protocol=FULL SSL2025.1293.2
IAE (M2AE)#Params(M)=15.3, GFLOPS=3.6, Evaluation Protocol=LINEAR SSL2025.1293.2
STRL#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=FULL SSL2025.1293.1
IAE (M2AE)#Params(M)=15.3, GFLOPS=3.6, Evaluation Protocol=LINEAR SSL, pre-training mesh=w/o mesh2025.1293.1
OcCo#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=FULL SSL2025.1293
DGCNNPre-training Epochs=N/A, Training Paradigm=Supervised Learning Only2024.0992.9
DGCNN2025.1292.9
KPConvEvaluation Protocol=Supervised2025.1292.9
DGCNN#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=FULL SSL2025.1292.9
Point-M2AE#Params(M)=15.3, GFLOPS=3.6, Evaluation Protocol=LINEAR SSL2025.1292.9
JigSaw#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=FULL SSL2025.1292.6
PointCNN#Params(M)=0.6, Evaluation Protocol=Supervised2025.1292.2
IAE (DGCNN)#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=LINEAR SSL2025.1292.1
TransformerPre-training Epochs=300, Training Paradigm=SSRL2024.0991.4
Transformer#Params(M)=22.1, GFLOPS=4.8, Evaluation Protocol=FULL SSL2025.1291.4
CrossPoint#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=LINEAR SSL2025.1291.2
STRL#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=LINEAR SSL2025.1290.9
PointNet++Pre-training Epochs=N/A, Training Paradigm=Supervised Learning Only2024.0990.7
PointNet++2025.1290.7
PointNet++#Params(M)=1.5, GFLOPS=1.7, Evaluation Protocol=Supervised2025.1290.7
OcCo#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=LINEAR SSL2025.1289.7
PointNetPre-training Epochs=N/A, Training Paradigm=Supervised Learning Only2024.0989.2
PointNet2025.1289.2
PointNet#Params(M)=3.5, GFLOPS=0.5, Evaluation Protocol=Supervised2025.1289.2
JigSaw#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=LINEAR SSL2025.1284.1