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Point Cloud Classification on ScanObjectNN Object & Background 1.0

93.29AccuracyACT
40.988454.566768.14581.7233Apr 15, 2022May 25, 2022Jul 5, 2022Aug 15, 2022Sep 25, 2022Nov 5, 2022Dec 16, 2022

Evaluation results

MethodLinks
ACTTransfer Protocol=FULL, #Params(M)=22.1, DA=true, Training Augmentation=Rotation2022.1293.29
ACTTransfer Protocol=FULL, #Params(M)=22.1, DA=false, Training Augmentation=None2022.1291.22
Point-MAETransfer Protocol=FULL, #Params(M)=22.1, DA=true2022.1290.02
MaskPointTransfer Protocol=FULL, #Params(M)=22.1, DA=true2022.1289.3
Point-BERTTransfer Protocol=FULL, #Params(M)=22.1, DA=true2022.1287.43
PointCNNTransfer Protocol=Supervised Learning Only, #Params(M)=0.6, DA=true2022.1286.1
OcCoTransfer Protocol=FULL, #Params(M)=22.1, DA=true2022.1284.85
DGCNNTransfer Protocol=Supervised Learning Only, #Params(M)=1.8, DA=true2022.1282.8
PointNet++Transfer Protocol=Supervised Learning Only, #Params(M)=1.5, DA=true2022.1282.3
TransformerTransfer Protocol=FULL, #Params(M)=22.1, DA=true2022.1279.86
SpiderCNNTransfer Protocol=Supervised Learning Only, DA=true2022.1277.1
PointNetTransfer Protocol=Supervised Learning Only, #Params(M)=3.5, DA=true2022.1273.3
MetaSetsBackbone=DGCNN2022.0459.08
DGCNN2022.0454.42
LDGCNN2022.0452.5
ConvPoint2022.0450.67
MetaSetsBackbone=PointNet2022.0449.5
PointNet2022.0445.5
PointCNN2022.0443.92
PointNet++2022.0443.25
PointDANBackbone=PointNet2022.0443