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Semi-supervised Image Classification on Flowers 10% (train)

98.18AccuracyGRaNDe
56.444867.279978.11588.9501May 23, 2026

Evaluation results

MethodLinks
GRaNDeFeatures=ViT-B162026.0598.18
DGCGFeatures=ViT-B162026.0598.09
WSEFFeatures=ViT-B162026.0597.82
MGCNFeatures=ViT-B162026.0597.43
PL+ SGDFeatures=ViT-B162026.0596.84
SVMFeatures=ViT-B162026.0596.75
GNN-LDSFeatures=ViT-B162026.0596.66
OPFFeatures=ViT-B162026.0596.5
LS+ kNNFeatures=ViT-B162026.0595.74
LS+ ML-Perc.Features=ViT-B162026.0595.13
LS+ SVMFeatures=ViT-B162026.0594.49
LS+ OPFFeatures=ViT-B162026.0594.22
ML-Perc.Features=ViT-B162026.0592.59
GRaNDeFeatures=ResNet2026.0586.19
MGCNFeatures=ResNet2026.0585.88
DGCGFeatures=ResNet2026.0585.68
WSEFFeatures=ResNet2026.0585.12
PL+ SGDFeatures=ResNet2026.0582.69
CoMatch2026.0582.55
SVMFeatures=ResNet2026.0580.54
GRaNDeFeatures=SENet2026.0580.1
GNN-LDSFeatures=ResNet2026.0579.32
ML-Perc.Features=ResNet2026.0578.88
MGCNFeatures=SENet2026.0578.82
DGCGFeatures=SENet2026.0578.42
PL+ SGDFeatures=SENet2026.0576.87
WSEFFeatures=SENet2026.0576.16
GNN-LDSFeatures=SENet2026.0573.69
LS+ SVMFeatures=ResNet2026.0573.53
LS+ kNNFeatures=ResNet2026.0573.49
SVMFeatures=SENet2026.0573.3
LS+ ML-Perc.Features=ResNet2026.0573.03
LS+ OPFFeatures=ResNet2026.0572.66
ML-Perc.Features=SENet2026.0572.62
OPFFeatures=ResNet2026.0571.77
OPFFeatures=SENet2026.0564
LS+ SVMFeatures=SENet2026.0559.84
LS+ ML-Perc.Features=SENet2026.0559.39
LS+ OPFFeatures=SENet2026.0559.25
LS+ kNNFeatures=SENet2026.0558.05