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

95.77Accuracy

GRaNDe

Updated 8d ago

Evaluation Results

Method	Links
GRaNDe 2026.05		95.77
MGCN 2026.05		95.57
DGCG 2026.05		95.29
WSEF 2026.05		94
GRaNDe 2026.05		93.42
GRaNDe 2026.05		93.25
MGCN 2026.05		93.08
MGCN 2026.05		92.79
SVM 2026.05		91.92
WSEF 2026.05		91.68
DGCG 2026.05		91.48
DGCG 2026.05		90.88
OPF 2026.05		90.02
GNN-LDS 2026.05		89.95
PL+ SGD 2026.05		89.85
PL+ SGD 2026.05		89.76
WSEF 2026.05		89.74
LS+ kNN 2026.05		89.63
PL+ SGD 2026.05		89.07
GNN-LDS 2026.05		88.94
SVM 2026.05		88.73
GNN-LDS 2026.05		88.56
LS+ ML-Perc. 2026.05		87.68
LS+ SVM 2026.05		87.59
ML-Perc. 2026.05		87.1
ML-Perc. 2026.05		86.9
LS+ OPF 2026.05		86.14
SVM 2026.05		85.89
CoMatch 2026.05		85.7
LS+ kNN 2026.05		83.98
OPF 2026.05		83.56
LS+ SVM 2026.05		83.26
LS+ ML-Perc. 2026.05		82.53
LS+ OPF 2026.05		82.32
OPF 2026.05		81.33
ML-Perc. 2026.05		74.41
LS+ SVM 2026.05		72.79
LS+ ML-Perc. 2026.05		72.24
LS+ OPF 2026.05		72.2
LS+ kNN 2026.05		72.16