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ResearchFormerly WizWand

3D Object Classification on ScanObjectNN OBJ_ONLY v1

0.9329Overall Accuracy (Highest)RECON
0.7863640.8244070.862450.900493Aug 21, 2024
Updated 8mo ago

Evaluation results

MethodLinks
RECONReference=ICML 23, Params. (M)=44.3, Training Protocol=Self-Supervised Representation Learning (FULL)2024.080.9329——
PPTReference=ACMMM 25, Params. (M)=1.1, Baseline=RECON, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.080.93280.9323—
RECON (Baseline)Reference=ICML 23, Params. (M)=22.1, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.080.9277——
IDPTReference=ICCV 23, Params. (M)=1.7, Baseline=Point-MAE, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.080.9260.9133—
PPTReference=ACMMM 25, Params. (M)=1.1, Baseline=Point-MAE, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.080.9260.9243—
DAPTReference=CVPR 24, Params. (M)=1.1, Baseline=RECON, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.080.92430.9163—
ACTReference=ICLR 23, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.080.9191——
VPPReference=NeurIPS 23, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.080.9191——
DAPTReference=CVPR 24, Params. (M)=1.1, Baseline=Point-MAE, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.080.91910.9131—
IDPTReference=ICCV 23, Params. (M)=1.7, Baseline=RECON, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.080.91740.9137—
I2P-MAEReference=CVPR 23, Params. (M)=15.3, Training Protocol=Self-Supervised Representation Learning (FULL)2024.080.9157——
Point-M2AEReference=NeurIPS 22, Params. (M)=15.3, Training Protocol=Self-Supervised Representation Learning (FULL)2024.080.8881——
Point-MAEReference=ECCV 22, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.080.8829——
Point-MAE (Baseline)Reference=ECCV 22, Params. (M)=22.1, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.080.8829——
Point-BERTReference=CVPR 22, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.080.8812——
DGCNNReference=TOG 19, Params. (M)=1.8, Training Protocol=Supervised Learning Only2024.080.862——
OcCoReference=ICCV 21, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.080.8554——
PointNet++Reference=NeurIPS 17, Params. (M)=1.5, Training Protocol=Supervised Learning Only2024.080.843——
PointNetReference=CVPR 17, Params. (M)=3.5, Training Protocol=Supervised Learning Only2024.080.792——
ACTTransfer Protocol=FULL, #Params(M)=22.1, DA=false, Training Augmentation=None2022.12——89.16
ACTTransfer Protocol=FULL, #Params(M)=22.1, DA=true, Training Augmentation=Rotation2022.12——91.91
DGCNNTransfer Protocol=Supervised Learning Only, #Params(M)=1.8, DA=true2022.12——86.2
MaskPointTransfer Protocol=FULL, #Params(M)=22.1, DA=true2022.12——88.1
OcCoTransfer Protocol=FULL, #Params(M)=22.1, DA=true2022.12——85.54
Point-BERTTransfer Protocol=FULL, #Params(M)=22.1, DA=true2022.12——88.12
Point-MAETransfer Protocol=FULL, #Params(M)=22.1, DA=true2022.12——88.29
PointCNNTransfer Protocol=Supervised Learning Only, #Params(M)=0.6, DA=true2022.12——85.5
PointNetTransfer Protocol=Supervised Learning Only, #Params(M)=3.5, DA=true2022.12——79.2
PointNet++Transfer Protocol=Supervised Learning Only, #Params(M)=1.5, DA=true2022.12——84.3
SpiderCNNTransfer Protocol=Supervised Learning Only, DA=true2022.12——79.5
TransformerTransfer Protocol=FULL, #Params(M)=22.1, DA=true2022.12——80.55