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SotA/Computer Vision/Image Classification/CIFAR-10, 250 Labels

Image Classification on CIFAR-10, 250 Labels

Metric: Percentage error (lower is better)

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#Model↕Percentage error▲Extra DataPaperDate↕Code
1SemiOccam3.47NoViTSGMM: A Robust Semi-Supervised Image Recognit...2025-06-04Code
2DebiasPL (w/ FixMatch)4.6NoDebiased Learning from Naturally Imbalanced Pseu...2022-01-05Code
3ShrinkMatch4.74NoShrinking Class Space for Enhanced Certainty in ...2023-08-13Code
4SimMatch4.84NoSimMatch: Semi-supervised Learning with Similari...2022-03-14Code
5NP-Match4.87NoNP-Match: When Neural Processes meet Semi-Superv...2022-07-03Code
6FreeMatch4.88NoFreeMatch: Self-adaptive Thresholding for Semi-s...2022-05-15Code
7FixMatch+CR5.04NoContrastive Regularization for Semi-Supervised L...2022-01-17-
8ReMixMatch6.27NoReMixMatch: Semi-Supervised Learning with Distri...2019-11-21Code
9EnAET7.6NoRealMix: Towards Realistic Semi-Supervised Deep ...2019-12-18Code
10RealMix9.79NoRealMix: Towards Realistic Semi-Supervised Deep ...2019-12-18Code
11MixMatch11.08NoMixMatch: A Holistic Approach to Semi-Supervised...2019-05-06Code
12LiDAM19.17NoLiDAM: Semi-Supervised Learning with Localized D...2020-10-13-
13VAT36.03NoVirtual Adversarial Training: A Regularization M...2017-04-13Code
14MeanTeacher47.32NoMean teachers are better role models: Weight-ave...2017-03-06Code
15MixUp47.43Nomixup: Beyond Empirical Risk Minimization2017-10-25Code
16Ⅱ-Model53.12NoTemporal Ensembling for Semi-Supervised Learning2016-10-07Code