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ResearchFormerly WizWand

Semi-supervised image classification on Corel5k 10% (train)

95.77AccuracyGRaNDe
71.215677.590383.96590.3397May 23, 2026
Updated 5mo ago

Evaluation results

MethodLinks
GRaNDeFeatures=ViT-B162026.0595.77
MGCNFeatures=ViT-B162026.0595.57
DGCGFeatures=ViT-B162026.0595.29
WSEFFeatures=ViT-B162026.0594
GRaNDeFeatures=SENet2026.0593.42
GRaNDeFeatures=ResNet2026.0593.25
MGCNFeatures=ResNet2026.0593.08
MGCNFeatures=SENet2026.0592.79
SVMFeatures=ViT-B162026.0591.92
WSEFFeatures=ResNet2026.0591.68
DGCGFeatures=ResNet2026.0591.48
DGCGFeatures=SENet2026.0590.88
OPFFeatures=ViT-B162026.0590.02
GNN-LDSFeatures=SENet2026.0589.95
PL+ SGDFeatures=SENet2026.0589.85
PL+ SGDFeatures=ResNet2026.0589.76
WSEFFeatures=SENet2026.0589.74
LS+ kNNFeatures=ViT-B162026.0589.63
PL+ SGDFeatures=ViT-B162026.0589.07
GNN-LDSFeatures=ResNet2026.0588.94
SVMFeatures=ResNet2026.0588.73
GNN-LDSFeatures=ViT-B162026.0588.56
LS+ ML-Perc.Features=ViT-B162026.0587.68
LS+ SVMFeatures=ViT-B162026.0587.59
ML-Perc.Features=ResNet2026.0587.1
ML-Perc.Features=SENet2026.0586.9
LS+ OPFFeatures=ViT-B162026.0586.14
SVMFeatures=SENet2026.0585.89
CoMatch2026.0585.7
LS+ kNNFeatures=ResNet2026.0583.98
OPFFeatures=ResNet2026.0583.56
LS+ SVMFeatures=ResNet2026.0583.26
LS+ ML-Perc.Features=ResNet2026.0582.53
LS+ OPFFeatures=ResNet2026.0582.32
OPFFeatures=SENet2026.0581.33
ML-Perc.Features=ViT-B162026.0574.41
LS+ SVMFeatures=SENet2026.0572.79
LS+ ML-Perc.Features=SENet2026.0572.24
LS+ OPFFeatures=SENet2026.0572.2
LS+ kNNFeatures=SENet2026.0572.16