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Object Recognition on ScanObjectNN fully-supervised (PB)

92.8Overall Accuracy (OA)RECON + MoST
67.00873.70480.487.096Mar 24, 2026

Evaluation results

MethodLinks
RECON + MoSTBackbone=RECON, #TP (M)=23.4, FLOPs=4.82026.0392.8
Point-MAE + MoSTBackbone=Point-MAE, #TP (M)=23.4, FLOPs=4.82026.0391.9
RECON + MCFTBackbone=RECON, #TP (M)=22.7, FLOPs=4.82026.0390.8
RECON#TP (M)=43.6, FLOPs=5.32026.0389.7
RECON + PointGSTBackbone=RECON, #TP (M)=22.7, FLOPs=4.82026.0389.5
RECON + DAPTBackbone=RECON, #TP (M)=23.2, FLOPs=5.02026.0389.4
RECON + PPTBackbone=RECON, #TP (M)=23.22026.0388.9
Point-MAE + PPTBackbone=Point-MAE, #TP (M)=23.4, FLOPs=4.82026.0388.4
Point-BERT + MCFTBackbone=Point-BERT, #TP (M)=22.7, FLOPs=4.82026.0388.3
ACT#TP (M)=22.1, FLOPs=4.82026.0388.2
RECON + IDPTBackbone=RECON, #TP (M)=23.8, FLOPs=7.22026.0387.3
Point-MAE + MCFTBackbone=Point-MAE, #TP (M)=22.7, FLOPs=4.82026.0387.2
Point-M2AE#TP (M)=15.3, FLOPs=3.62026.0386.4
Point-BERT + PointGSTBackbone=Point-BERT, #TP (M)=22.7, FLOPs=4.82026.0385.6
PointMLP#TP (M)=13.2, FLOPs=31.42026.0385.4
Point-BERT + DAPTBackbone=Point-BERT, #TP (M)=23.2, FLOPs=5.02026.0385.4
Point-MAE + PointGSTBackbone=Point-MAE, #TP (M)=22.7, FLOPs=4.82026.0385.3
Point-MAE#TP (M)=22.1, FLOPs=4.82026.0385.2
Point-MAE + DAPTBackbone=Point-MAE, #TP (M)=23.2, FLOPs=5.02026.0385.1
Point-BERT + PointPEFTBackbone=Point-BERT, #TP (M)=22.82026.0385
Point-MAE + IDPTBackbone=Point-MAE, #TP (M)=23.8, FLOPs=7.22026.0384.9
MaskPoint#TP (M)=22.12026.0384.6
Point-BERT + IDPTBackbone=Point-BERT, #TP (M)=23.8, FLOPs=7.22026.0383.7
Point-BERT#TP (M)=22.1, FLOPs=4.82026.0383.07
OcCo#TP (M)=22.1, FLOPs=4.82026.0378.8
DGCNN#TP (M)=1.8, FLOPs=2.42026.0378.1
PointNet++#TP (M)=1.5, FLOPs=1.72026.0377.9
PointNet#TP (M)=3.5, FLOPs=0.52026.0368