List your company
ResearchFormerly WizWand

3D Object Classification on ScanObjectNN OBJ_BG v1

95.18Overall AccuracyRECON
72.424878.332484.2490.1476Nov 29, 2021May 14, 2022Oct 27, 2022Apr 11, 2023Sep 24, 2023Mar 8, 2024Aug 21, 2024
Updated 8mo ago

Evaluation results

MethodLinks
RECONReference=ICML 23, Params. (M)=44.3, Training Protocol=Self-Supervised Representation Learning (FULL)2024.0895.18—
PPTReference=ACMMM 25, Params. (M)=1.1, Baseline=RECON, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0895.0194.09
RECON (Baseline)Reference=ICML 23, Params. (M)=22.1, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0894.32—
I2P-MAEReference=CVPR 23, Params. (M)=15.3, Training Protocol=Self-Supervised Representation Learning (FULL)2024.0894.15—
PPTReference=ACMMM 25, Params. (M)=1.1, Baseline=Point-MAE, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0893.6392.99
DAPTReference=CVPR 24, Params. (M)=1.1, Baseline=RECON, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0893.6393.12
IDPTReference=ICCV 23, Params. (M)=1.7, Baseline=RECON, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0893.4692.88
ACTReference=ICLR 23, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.0893.29—
VPPReference=NeurIPS 23, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.0893.11—
IDPTReference=ICCV 23, Params. (M)=1.7, Baseline=Point-MAE, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0892.9492.38
DAPTReference=CVPR 24, Params. (M)=1.1, Baseline=Point-MAE, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0892.4391.61
Point-M2AEReference=NeurIPS 22, Params. (M)=15.3, Training Protocol=Self-Supervised Representation Learning (FULL)2024.0891.22—
Point-MAEReference=ECCV 22, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.0890.02—
Point-MAE (Baseline)Reference=ECCV 22, Params. (M)=22.1, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0890.02—
Point-BERTReference=CVPR 22, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.0887.43—
Point-BERT2021.1187.43—
PointCNN2021.1186.1—
OcCoReference=ICCV 21, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.0884.85—
Transformer-OcCo2021.1184.85—
DGCNNReference=TOG 19, Params. (M)=1.8, Training Protocol=Supervised Learning Only2024.0882.8—
DGCNN2021.1182.8—
PointNet++Reference=NeurIPS 17, Params. (M)=1.5, Training Protocol=Supervised Learning Only2024.0882.3—
PointNet++2021.1182.3—
Transformer2021.1179.86—
SpiderCNN2021.1177.1—
PointNetReference=CVPR 17, Params. (M)=3.5, Training Protocol=Supervised Learning Only2024.0873.3—
PointNet2021.1173.3—