Semi Supervised Image Classification On Mini

Accuracy

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

		Paper Title
SimPLE	66.55	SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification
FeatMatch	60.95	FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
SemCo (μ=3)	53.99±0.93	All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training
SemCo (μ=7)	50.54±2.20	All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training

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