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3D Shape Classification on ModelNet40 (test)

97.6Accuracy

ViewGCN

Updated 4d ago

Evaluation Results

Method
ViewGCN 2020.11	97.6	96.5	-	-	-	-	-
RotationNet 2020.06	97.3	-	-	-	-	-	-
VRN ensemble 2018.03	95.5	-	-	-	-	-	-
MVCNN-MultiRes 2016.05	93.8	-	-	-	-	-	-
MVCNN-MultiRes 2018.03	93.8	-	-	-	-	-	-
MVTN 2020.11	93.8	92	-	-	-	-	-
PT2 2021.10	93.7	-	-	-	-	-	-
PT2 2021.10	93.7	-	-	-	-	-	-
PTransformer 2020.11	93.7	90.6	-	-	-	-	-
RS-CNN 2019.04	93.6	-	-	-	-	-	-
RS-CNN 2020.06	93.6	-	-	-	-	-	-
RSMix 2021.02	93.5	-	-	-	-	-	-
PatchFormer 2021.10	93.5	-	-	-	-	-	-
PatchFormer 2021.10	93.5	-	-	-	-	-	-
MVTN 2020.11	93.5	92.2	-	-	-	-	-
SO-Net 2019.04	93.4	-	-	-	-	-	-
SO-Net 2019.09	93.4	-	-	-	-	-	-
3D2SeqViews 2020.06	93.4	-	-	-	-	-	-
ViewGCN 2020.11	93.3	91.3	-	-	-	-	-
DensePoint 2019.09	93.2	-	-	-	-	-	-
PointASNL 2021.10	93.2	-	-	-	-	-	-
PCT 2021.10	93.2	-	-	-	-	-	-
PCT 2021.10	93.2	-	-	-	-	-	-
SGAS 2020.11	93.2	-	-	-	-	-	-
GVCNN 2020.06	93.1	-	-	-	-	-	-
PointASNL 2021.10	93.1	-	-	-	-	-	-
GVCNN 2020.11	93.1	90.7	-	-	-	-	-
InterpCNN 2019.08	93	-	-	-	-	-	-
MID-FC(Finetune) 2020.08	93	-	-	-	-	-	-
ViewGCN 2020.11	93	90.7	-	-	-	-	-
KPConv 2019.04	92.9	-	-	-	-	-	-
KPConv 2020.06	92.9	-	-	-	-	-	-
MID-FC(NoPre) 2020.08	92.9	-	-	-	-	-	-
DGCNN 2020.08	92.9	-	-	-	-	-	-
KPConv 2020.08	92.9	-	-	-	-	-	-
RS-CNN 2020.08	92.9	-	-	-	-	-	-
KPConv 2021.10	92.9	-	-	-	-	-	-
DGCNN 2021.10	92.9	-	-	-	-	-	-
DGCNN 2021.10	92.9	-	-	-	-	-	-
KPConv 2020.11	92.9	-	-	-	-	-	-
DGCNN 2021.02	92.8	-	-	-	-	-	-
PT1 2021.10	92.8	-	-	-	-	-	-
PT1 2021.10	92.8	-	-	-	-	-	-
KPConv 2019.04	92.7	-	-	-	-	-	-
3DCapsule 2019.08	92.7	-	-	-	-	-	-
LDGCNN 2021.10	92.7	-	-	-	-	-	-
Point2Seq 2019.08	92.6	-	-	-	-	-	-
PointConv 2019.08	92.5	-	-	-	-	-	-
SpiderCNN 2019.04	92.4	-	-	-	-	-	-
SpiderCNN 2019.08	92.4	-	-	-	-	-	-
SpiderCNN 2019.09	92.4	-	-	-	-	-	-
SpiderCNN 2021.10	92.4	-	-	-	-	-	-
PVCNN 2021.10	92.4	-	-	-	-	-	-
PCNN 2018.03	92.3	-	-	-	-	-	-
PCNN 2019.04	92.3	-	-	-	-	-	-
PCNN by Ext 2019.04	92.3	-	-	-	-	-	-
PCNN 2019.09	92.3	-	-	-	-	-	-
MeshWalker 2020.06	92.3	-	-	-	-	-	-
PointWeb 2021.10	92.3	-	-	-	-	-	-
DGCNN 2019.04	92.2	-	-	-	-	-	-
PointCNN 2019.04	92.2	-	-	-	-	-	-
DGCNN 2019.04	92.2	-	-	-	-	-	-
PointCNN 2019.08	92.2	-	-	-	-	-	-
DGCNN 2019.08	92.2	-	-	-	-	-	-
DGCNN 2019.09	92.2	-	-	-	-	-	-
PointCNN 2019.09	92.2	-	-	-	-	-	-
PointCNN 2020.08	92.2	-	-	-	-	-	-
PointCNN 2021.10	92.2	-	-	-	-	-	-
DGCNN 2020.11	92.2	90.2	-	-	-	-	-
RSMix 2021.02	92.1	-	-	-	-	-	-
VRN single 2018.03	92	-	-	-	-	-	-
MVCNN 2018.03	92	-	-	-	-	-	-
VIPGAN 2019.07	91.98	-	-	-	-	-	-
pointnet++ 2018.03	91.9	-	-	-	-	-	-
MeshNet 2018.11	91.9	-	-	-	-	-	-
PointNet++ 2019.04	91.9	-	-	-	-	-	-
PointNet++ 2019.08	91.9	-	-	-	-	-	-
PointNet++ 2019.09	91.9	-	-	-	-	-	-
MeshNet 2020.06	91.9	-	-	-	-	-	-
PointNet++ 2021.10	91.9	-	-	-	-	-	-
PointNet++(MSG) 2021.10	91.9	-	-	-	-	-	-
PointNet++ 2020.11	91.9	-	-	-	-	-	-
Rotation Prediction + Context Prediction 2020.08	91.84	-	-	-	-	-	-
kd-network 2018.03	91.8	-	-	-	-	-	-
Kd-Net 2018.11	91.8	-	-	-	-	-	-
Kd-Net 2019.04	91.8	-	-	-	-	-	-
Spec-GCN 2019.04	91.8	-	-	-	-	-	-
Kd-Network 2019.08	91.8	-	-	-	-	-	-
Kd-Net(depth=15) 2019.09	91.8	-	-	-	-	-	-
Spec-GCN 2019.09	91.8	-	-	-	-	-	-
PointCNN 2020.11	91.8	88.1	-	-	-	-	-
PointCNN 2019.04	91.7	-	-	-	-	-	-
3DmFV-Net 2019.04	91.6	-	-	-	-	-	-
SNGC 2020.06	91.6	-	-	-	-	-	-
RSMix 2021.02	91.6	-	-	-	-	-	-
4l-spec-cp 2018.03	91.5	-	-	92.1	-	-	-
Spec-GCN 2019.04	91.5	-	-	-	-	-	-
SpecGCN 2019.04	91.5	-	-	-	-	-	-
Spec-GCN 2019.09	91.5	-	-	-	-	-	-
VRN Single 2019.08	91.3	-	-	-	-	-	-

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