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Semi-supervised Image Classification on CUB200 (10% train)

81.23Accuracy

DGCG

Updated 8d ago

Evaluation Results

Method	Links
DGCG 2026.05		81.23
MGCN 2026.05		79.27
WSEF 2026.05		78.64
GRaNDe 2026.05		78.58
SVM 2026.05		75.61
OPF 2026.05		73.27
LS+ SVM 2026.05		66.81
LS+ OPF 2026.05		66.68
LS+ kNN 2026.05		66.15
LS+ ML-Perc. 2026.05		62.81
GRaNDe 2026.05		54.58
DGCG 2026.05		54.43
MGCN 2026.05		52.85
GNN-LDS 2026.05		52.42
WSEF 2026.05		52.17
SVM 2026.05		48.84
GRaNDe 2026.05		43.78
DGCG 2026.05		41
MGCN 2026.05		40.31
LS+ ML-Perc. 2026.05		39.68
LS+ OPF 2026.05		39.28
LS+ SVM 2026.05		38.7
OPF 2026.05		38.59
CoMatch 2026.05		38.29
GNN-LDS 2026.05		37.78
LS+ kNN 2026.05		36.99
WSEF 2026.05		36.49
SVM 2026.05		35.32
ML-Perc. 2026.05		32.24
ML-Perc. 2026.05		32.15
OPF 2026.05		30.94
PL+ SGD 2026.05		30.19
LS+ ML-Perc. 2026.05		25.72
LS+ OPF 2026.05		25.38
LS+ SVM 2026.05		24.82
PL+ SGD 2026.05		21.67
PL+ SGD 2026.05		20.96
LS+ kNN 2026.05		20
ML-Perc. 2026.05		12.02