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Classification d'images semi-supervisée
Semi Supervised Image Classification On Stl 1
Semi Supervised Image Classification On Stl 1
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
Accuracy
Paper Title
Repository
ReMixMatch
93.82
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
-
MixMatch
89.82
MixMatch: A Holistic Approach to Semi-Supervised Learning
-
SWWAE
74.30
Stacked What-Where Auto-encoders
-
SimCLR (CoMatch)
77.46
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
-
Diff-SySC
99.36±0.20
Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification
-
DoubleMatch
95.65±0.20
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
-
EnAET
91.96
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations
-
FixMatch (CTA)
94.83±0.63
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
-
Semi-MMDC
95.22±0.29
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering
-
CC-GAN²
77.80
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
-
NP-Match
94.53
NP-Match: When Neural Processes meet Semi-Supervised Learning
-
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