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3D Object Classification on ModelNet40

0.941Accuracy

ReCon

Updated 25d ago

Evaluation Results

Method
ReCon 2024.08	0.941	-	-	-	-	-	-	-	-	-
Point-FEMAE 2024.08	0.94	-	-	-	-	-	-	-	-	-
PCP-MAE 2024.08	0.94	-	-	-	-	-	-	-	-	-
I2P-MAE 2024.08	0.937	-	-	-	-	-	-	-	-	-
Point-M2AE 2024.08	0.934	-	-	-	-	-	-	-	-	-
DGCNN 2023.04	0.9327	-	-	-	-	-	-	-	-	-
DensePoint 2020.07	0.932	-	-	-	-	-	-	-	-	-
PosPool* 2020.07	0.932	-	-	-	-	-	-	-	-	-
Point-MAE 2024.08	0.932	-	-	-	-	-	-	-	-	-
ACT 2024.08	0.932	-	-	-	-	-	-	-	-	-
pseudo grid 2020.07	0.93	-	-	-	-	-	-	-	-	-
adapt weights 2020.07	0.93	-	-	-	-	-	-	-	-	-
KPConv 2020.07	0.929	-	-	-	-	-	-	-	-	-
PosPool 2020.07	0.929	-	-	-	-	-	-	-	-	-
point-wise MLP 2020.07	0.928	-	-	-	-	-	-	-	-	-
point-wise MLP (S) 2020.07	0.926	-	-	-	-	-	-	-	-	-
PosPool* (S) 2020.07	0.926	-	-	-	-	-	-	-	-	-
PointCNN 2020.07	0.925	-	-	-	-	-	-	-	-	-
PosPool (S) 2020.07	0.925	-	-	-	-	-	-	-	-	-
pseudo grid (S) 2020.07	0.923	-	-	-	-	-	-	-	-	-
DGCNN 2019.01	0.922	-	-	-	-	-	-	-	-	-
SPH3D-GCN 2019.09	0.921	89.3	18.1	8.4	-	-	-	-	-	-
adapt weights (S) 2020.07	0.921	-	-	-	-	-	-	-	-	-
Ψ-CNN 2019.09	0.92	88.7	84.3	34.1	-	-	-	-	-	-
PointNet++ 2019.01	0.919	-	-	-	-	-	-	-	-	-
baseline† (MAX) 2020.07	0.918	-	-	-	-	-	-	-	-	-
PointCNN 2019.09	0.917	88	19.4	7.5	-	-	-	-	-	-
DGCNN 2019.09	0.915	89.3	15.3	5.6	-	-	-	-	-	-
baseline† (MAX, S) 2020.07	0.915	-	-	-	-	-	-	-	-	-
SFCNN 2019.09	0.914	-	-	-	-	-	-	-	-	-
SPH3D-GCN 2019.09	0.914	88.5	4	1.4	-	-	-	-	-	-
baseline* 2020.07	0.914	-	-	-	-	-	-	-	-	-
baseline† (AVG) 2020.07	0.914	-	-	-	-	-	-	-	-	-
KCNet 2019.09	0.91	-	-	-	-	-	-	-	-	-
SO-Net 2019.09	0.909	87.3	-	-	-	-	-	-	-	-
PointNet++ 2019.09	0.907	88	4.9	1.3	-	-	-	-	-	-
baseline† (AVG, S) 2020.07	0.907	-	-	-	-	-	-	-	-	-
Kd-net(10) 2019.09	0.906	86.3	-	-	-	-	-	-	-	-
MeshConv 2019.01	0.905	-	-	-	-	-	-	-	-	-
Uni3D + BayesMM 2026.03	0.9048	-	-	-	-	-	-	-	-	-
PointNet 2019.01	0.892	-	-	-	-	-	-	-	-	-
PointNet 2019.09	0.892	86.2	7.9	2.5	-	-	-	-	-	-
Uni3D + Point-Cache (Hierarchical) 2026.03	0.8918	-	-	-	-	-	-	-	-	-
SphericalCNN 2019.01	0.889	-	-	-	-	-	-	-	-	-
Uni3D + Point-Cache (Global) 2026.03	0.8886	-	-	-	-	-	-	-	-	-
Uni3D 2026.03	0.8841	-	-	-	-	-	-	-	-	-
ECC 2019.09	0.874	83.2	-	-	-	-	-	-	-	-
ULIP-2 + RC 2024.10	0.8647	-	-	-	-	-	-	-	-	-
VoxNet 2019.01	0.859	-	-	-	-	-	-	-	-	-
O-Shape + Point-Cache (Hierarchical) 2026.03	0.859	-	-	-	-	-	-	-	-	-
O-Shape + BayesMM 2026.03	0.8574	-	-	-	-	-	-	-	-	-
O-Shape + Point-Cache (Global) 2026.03	0.857	-	-	-	-	-	-	-	-	-
ULIP-2 2024.10	0.8507	-	-	-	-	-	-	-	-	-
S2CNN 2019.01	0.85	-	-	-	-	-	-	-	-	-
3DShapeNets 2019.01	0.847	-	-	-	-	-	-	-	-	-
O-Shape 2026.03	0.8452	-	-	-	-	-	-	-	-	-
ULIP + RC 2024.10	0.8387	-	-	-	-	-	-	-	-	-
P-CLIP2 2024.10	0.8349	-	-	-	-	-	-	-	-	-
ULIP 2024.10	0.8243	-	-	-	-	-	-	-	-	-
P-CLIP 2024.10	0.8097	-	-	-	-	-	-	-	-	-
ULIP-2 + BayesMM 2026.03	0.7678	-	-	-	-	-	-	-	-	-
ULIP-2 + Point-Cache (Hierarchical) 2026.03	0.7553	-	-	-	-	-	-	-	-	-
ULIP-2 + Point-Cache (Global) 2026.03	0.7451	-	-	-	-	-	-	-	-	-
ULIP-2 2026.03	0.7297	-	-	-	-	-	-	-	-	-
ULIP-2 + RC 2024.10	0.721	-	-	-	-	-	-	-	-	-
ULIP + BayesMM 2026.03	0.6713	-	-	-	-	-	-	-	-	-
ULIP-2 2024.10	0.6527	-	-	-	-	-	-	-	-	-
ULIP + Point-Cache (Hierarchical) 2026.03	0.6293	-	-	-	-	-	-	-	-	-
MMER 2025.05	0.6215	-	-	-	-	-	-	-	-	-
ULIP + Point-Cache (Global) 2026.03	0.6122	-	-	-	-	-	-	-	-	-
ULIP 2026.03	0.5875	-	-	-	-	-	-	-	-	-
ULIP + RC 2024.10	0.58	-	-	-	-	-	-	-	-	-
ULIP 2024.10	0.5617	-	-	-	-	-	-	-	-	-
P-CLIP2 + RC 2024.10	0.5537	-	-	-	-	-	-	-	-	-
P-CLIP2 2024.10	0.5473	-	-	-	-	-	-	-	-	-
Vision MLLM 2025.05	0.5194	-	-	-	-	-	-	-	-	-
P-CLIP 2024.10	0.332	-	-	-	-	-	-	-	-	-
Point MLLM 2025.05	0.2127	-	-	-	-	-	-	-	-	-
SGAS 2020.05	-	92.87	-	-	-	-	-	-	-	-
NoisyDARTS 2020.05	-	93.11	-	-	-	-	-	-	-	-
NoisyDARTS 2020.05	-	93.23	-	-	-	-	-	-	-	-
ScanObjectNN 2022.05	-	85.3	-	-	-	-	-	-	-	-
ScanObjectNN 2022.05	-	85.2	-	-	-	-	-	-	-	-
ScanObjectNN 2022.05	-	84.6	-	-	-	-	-	-	-	-
ScanNet10 2022.05	-	86.3	-	-	-	-	-	-	-	-
ScanNet10 2022.05	-	85.3	-	-	-	-	-	-	-	-
ScanNet10 2022.05	-	85.6	-	-	-	-	-	-	-	-
ShapeNet 2022.05	-	87.1	-	-	-	-	-	-	-	-
ShapeNet 2022.05	-	87.3	-	-	-	-	-	-	-	-
ShapeNet 2022.05	-	88	-	-	-	-	-	-	-	-
Primitive3D 2022.05	-	86.1	-	-	-	-	-	-	-	-
Primitive3D 2022.05	-	88.9	-	-	-	-	-	-	-	-
Primitive3D 2022.05	-	89.4	-	-	-	-	-	-	-	-
f-CLSWGAN* 2021.08	-	20.7	-	-	-	-	-	-	-	-
f-CLSWGAN* 2021.08	-	-	-	-	76.3	3.7	7	-	-	-
CADA-VAE* 2021.08	-	23	-	-	-	-	-	-	-	-
CADA-VAE* 2021.08	-	-	-	-	84.7	1.3	2.6	-	-	-
ZSLPC† 2021.08	-	28	-	-	-	-	-	-	-	-
ZSLPC† 2021.08	-	20.9	-	-	-	-	-	-	-	-
ZSLPC† 2021.08	-	20.5	-	-	-	-	-	-	-	-

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