HyperAI
HomeNewsLatest PapersTutorialsDatasetsWikiSOTALLM ModelsGPU LeaderboardEvents
Search
About
HyperAI

Semi Supervised Image Classification On Cifar 8

Metrics

Percentage error

Results

Performance results of various models on this benchmark

Model Name
Percentage error
Paper TitleRepository
DoubleMatch41.83± 1.22DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
Dash (CTA, WRN-28-8)44.83±1.36Dash: Semi-Supervised Learning with Dynamic Thresholding-
DP-SSL43.17±1.29DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples-
SemiReward15.62SemiReward: A General Reward Model for Semi-supervised Learning
NP-Match38.67NP-Match: When Neural Processes meet Semi-Supervised Learning
PCL (Fixmatch)42.38±2.52Probabilistic Contrastive Learning for Domain Adaptation
FixMatch+DM40.25±0.95--
SimMatch37.81SimMatch: Semi-supervised Learning with Similarity Matching
CCSSL(FixMatch)38.81Class-Aware Contrastive Semi-Supervised Learning
FixMatch (CTA)49.95±3.01FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
FlexMatch39.94±1.62FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
FixMatch+CR49.23Contrastive Regularization for Semi-Supervised Learning-
ShrinkMatch35.36Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
ReMixMatch16.8USB: A Unified Semi-supervised Learning Benchmark for Classification
Dash (RA, WRN-28-8)44.76±0.96Dash: Semi-Supervised Learning with Dynamic Thresholding-
ReMixMatch44.28±2.06ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring-
PCL (Flexmatch)35.75±0.53Probabilistic Contrastive Learning for Domain Adaptation
FreeMatch37.98FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
0 of 18 row(s) selected.