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ResearchFormerly WizWand

3D Point Cloud Classification on MN40

93.07AccuracyToMe
0.312424.393748.47572.5563Nov 25, 2025
Updated 7mo ago

Evaluation results

MethodLinks
ToMes=16, Protocol=Trained using FMD + finetuning, Frozen student=false2025.1193.0786.52
baselinec=642025.1193.0287.72
PiToMes=16, Protocol=Trained using FMD + finetuning, Frozen student=false2025.1192.8386.51
PatchMergers=16, Protocol=Trained using FMD + finetuning, Frozen student=false2025.1192.8387.59
Foundrys=2, Frozen student=false2025.1191.7684.87
Foundrys=16, Frozen student=false2025.1191.7584.87
Foundrys=1, Frozen student=false2025.1191.7284.58
Foundrys=8, Frozen student=true2025.1191.7184.38
Foundrys=8, Frozen student=false2025.1191.6384.76
Foundrys=1, Frozen student=true2025.1191.684.17
Foundrys=2, Frozen student=true2025.1191.5284.17
Foundrys=16, Backbone=ViT-T, Frozen student=false2025.1191.4983.75
Foundrys=4, Frozen student=false2025.1191.4884.64
Foundrys=16, Frozen student=true2025.1191.4184.33
Foundrys=4, Frozen student=true2025.1191.2584.25
Random samplingc=16, Protocol=inference from baseline2025.1190.5775.2
ToMes=16, Protocol=inference from baseline2025.1189.173.8
Updating group sizec=16, Protocol=inference from baseline2025.1163.4541.66
ToMes=1, Protocol=inference from baseline2025.1148.3546.15
Random samplingc=1, Protocol=inference from baseline2025.1118.3321.46
Updating group sizec=1, Protocol=inference from baseline2025.113.8815.78