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3D Object Classification on ModelNet40 8k P v1

94.7Overall Accuracy

ReCon

Updated 4d ago

Evaluation Results

Method	Links
ReCon 2023.07		94.7	-	-
ReCon 2025.12		94.7	-	-
VPP w/ vot. 2023.07		94.3	-	-
Point-PQAE 2025.12		94.3	-	-
CSCon 2025.12		94.3	-	-
PointGPT 2025.12		94.2	-	-
Point-MAE 2023.07		94	-	-
VPP w/o vot. 2023.07		94	-	-
ACT 2023.07		94	-	-
Point-MAE 2025.12		94	-	-
ACT 2025.12		94	-	-
Point-BERT 2023.07		93.8	-	-
Point-BERT 2025.12		93.8	-	-
PointNet++ 2023.07		91.9	-	-
PointNet++ 2025.12		91.9	-	-
Transformer 2023.07		91.8	-	-
PointNet 2023.07		90.8	-	-
PointNet 2025.12		90.8	-	-
PointNet 2024.08		-	90.8	-
PointNet++ 2024.08		-	91.9	-
OcCo 2024.08		-	-	92.1
Point-BERT 2024.08		-	93.8	-
Point-MAE 2024.08		-	94	-
ACT 2024.08		-	94	-
VPP 2024.08		-	94.3	-
RECON 2024.08		-	94.3	-
Point-MAE (Baseline) 2024.08		-	94	-
IDPT 2024.08		-	93.88	93.67
DAPT 2024.08		-	93.27	93.05
PPT 2024.08		-	93.88	93.51
RECON (Baseline) 2024.08		-	93	-
IDPT 2024.08		-	93.64	93.52
DAPT 2024.08		-	93.07	92.79
PPT 2024.08		-	93.84	93.66