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Semi Supervised Image Classification On Stl 1

評価指標

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

モデル名
Accuracy
Paper TitleRepository
ReMixMatch93.82ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
MixMatch89.82MixMatch: A Holistic Approach to Semi-Supervised Learning
SWWAE74.30Stacked What-Where Auto-encoders
SimCLR (CoMatch)77.46CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Diff-SySC99.36±0.20Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification-
DoubleMatch95.65±0.20DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
EnAET91.96EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations
FixMatch (CTA)94.83±0.63FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Semi-MMDC95.22±0.29Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering
CC-GAN²77.80Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
NP-Match94.53NP-Match: When Neural Processes meet Semi-Supervised Learning
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