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3D Object Classification on ScanObjectNN OBJ-ONLY (test)

94.97Accuracy

HybridNet

Updated 3d ago

Evaluation Results

Method	Links
HybridNet 2024.10		94.97
Mamba3d 2024.10		94.87
Mamba3d 2024.10		94.15
HybridNet 2024.10		93.03
Mamba3d 2024.10		92.75
HybridNet 2024.10		92.58
Mamba3d 2024.10		92.43
MVTN 2024.10		92.3
HybridNet 2024.10		92.28
Mamba3d 2024.10		92.08
Mamba3d 2024.10		92.08
Mamba3d 2024.10		91.05
Transformer 2024.10		90.02
Point-M2AE 2024.10		88.81
PointMamba 2024.10		88.47
Transformer 2024.10		88.3
Transformer 2024.10		88.29
Point-BERT 2021.11		88.12
Transformer 2024.10		88.1
PointMamba 2024.10		87.78
DGCNN 2021.11		86.2
DGCNN 2024.10		86.2
Transformer-OcCo 2021.11		85.54
Transformer 2024.10		85.54
PointCNN 2021.11		85.5
PointCNN 2024.10		85.5
PointNet++ 2021.11		84.3
PointNet++ 2024.10		84.3
Transformer 2021.11		80.55
Transformer 2024.10		80.55
SpiderCNN 2021.11		79.5
PointNet 2021.11		79.2
PointNet 2024.10		79.2
SUGAR (single) 2024.04		65.3
SUGAR (multi) 2024.04		63.5
SUGAR (multi) 2024.04		55
SUGAR (multi) 2024.04		53.5
SUGAR (multi) 2024.04		53.2
SUGAR (single) 2024.04		52.8
OpenShape-PointBERT 2024.04		52
OpenShape-PointBERT 2024.04		52
OpenShape-PointBERT 2024.04		51.8
OpenShape-PointBERT 2024.04		50.8
ULIP-PointBERT 2024.04		49.9
SUGAR (single) 2024.04		49.6
SUGAR (single) 2024.04		48.6
ULIP-PointBERT 2024.04		46
ReCon 2024.04		39.6
CLIP2Point 2024.04		35.5