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Object Recognition on ScanObjectNN fully-supervised (BG)

94.9Overall Accuracy (OA)RECON + MCFT
72.43678.26884.189.932Mar 24, 2026

Evaluation results

MethodLinks
RECON + MCFTBackbone=RECON, #TP (M)=22.7, FLOPs=4.82026.0394.9
RECON + PointGSTBackbone=RECON, #TP (M)=22.7, FLOPs=4.82026.0394.5
RECON + DAPTBackbone=RECON, #TP (M)=23.2, FLOPs=5.02026.0394.3
RECON#TP (M)=43.6, FLOPs=5.32026.0394.2
RECON + PPTBackbone=RECON, #TP (M)=23.22026.0394.1
ACT#TP (M)=22.1, FLOPs=4.82026.0393.3
RECON + IDPTBackbone=RECON, #TP (M)=23.8, FLOPs=7.22026.0393.3
Point-MAE + PPTBackbone=Point-MAE, #TP (M)=23.4, FLOPs=4.82026.0392.9
Point-BERT + MCFTBackbone=Point-BERT, #TP (M)=22.7, FLOPs=4.82026.0392.1
Point-MAE + MCFTBackbone=Point-MAE, #TP (M)=22.7, FLOPs=4.82026.0391.8
Point-MAE + PointGSTBackbone=Point-MAE, #TP (M)=22.7, FLOPs=4.82026.0391.7
Point-BERT + PointGSTBackbone=Point-BERT, #TP (M)=22.7, FLOPs=4.82026.0391.4
Point-M2AE#TP (M)=15.3, FLOPs=3.62026.0391.2
Point-MAE + IDPTBackbone=Point-MAE, #TP (M)=23.8, FLOPs=7.22026.0391.2
Point-BERT + DAPTBackbone=Point-BERT, #TP (M)=23.2, FLOPs=5.02026.0391.1
Point-MAE + DAPTBackbone=Point-MAE, #TP (M)=23.2, FLOPs=5.02026.0390.9
Point-MAE#TP (M)=22.1, FLOPs=4.82026.0390
MaskPoint#TP (M)=22.12026.0389.7
Point-BERT + IDPTBackbone=Point-BERT, #TP (M)=23.8, FLOPs=7.22026.0388.1
Point-BERT#TP (M)=22.1, FLOPs=4.82026.0387.4
OcCo#TP (M)=22.1, FLOPs=4.82026.0384.9
DGCNN#TP (M)=1.8, FLOPs=2.42026.0382.8
PointNet++#TP (M)=1.5, FLOPs=1.72026.0382.3
PointNet#TP (M)=3.5, FLOPs=0.52026.0373.3