Methods › General › Semi-Supervised Learning Methods › FixMatch
FixMatch
Introduced by Kihyuk Sohn et al. in FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
FixMatch is an algorithm that first generates pseudo-labels using the model's predictions on weakly-augmented unlabeled images. For a given image, the pseudo-label is only retained if the model produces a high-confidence prediction. The model is then trained to predict the pseudo-label when fed a strongly-augmented version of the same image.
Description from: FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Image credit: FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Papers archive 2025-07-28
30 shown of 85, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active Learning 6 May 2025 · 1 repository · arXiv:2505.03509
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Towards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approach 10 Apr 2025 · 0 repositories · arXiv:2504.07785
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Feature Modulation for Semi-Supervised Domain Generalization without Domain Labels 26 Mar 2025 · 0 repositories · arXiv:2503.20897
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Uncertainty-aware Long-tailed Weights Model the Utility of Pseudo-labels for Semi-supervised Learning 13 Mar 2025 · 0 repositories · arXiv:2503.09974
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Semi-Supervised Learning for Dose Prediction in Targeted Radionuclide: A Synthetic Data Study 7 Mar 2025 · 0 repositories · arXiv:2503.05367
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Enhancing Deep Learning Model Robustness through Metamorphic Re-Training 2 Dec 2024 · 0 repositories · arXiv:2412.01958
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RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier 29 Oct 2024 · 1 repository · arXiv:2410.22124Syntology ran 4 of 9 samples · 5 unverified
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SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation 17 Oct 2024 · 0 repositories · arXiv:2410.13486
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Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning 15 Oct 2024 · 0 repositories · arXiv:2410.11206
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Unsupervised Domain Adaption Harnessing Vision-Language Pre-training 5 Aug 2024 · 1 repository · arXiv:2408.02192Syntology ran 6 of 13 samples · 7 unverified
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Smooth Pseudo-Labeling 23 May 2024 · 0 repositories · arXiv:2405.14313
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SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector 8 May 2024 · 2 repositories · arXiv:2405.04788
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Unsupervised Domain Adaption Harnessing Vision-Language Pre-training 19 Apr 2024 · 1 repository
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A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classification 27 Mar 2024 · 0 repositories · arXiv:2403.18407
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Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies 17 Feb 2024 · 1 repository · arXiv:2402.11273
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Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells 14 Jan 2024 · 0 repositories · arXiv:2401.07278
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Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning 9 Jan 2024 · 1 repository · arXiv:2401.04435
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Debiased Learning for Remote Sensing Data 24 Dec 2023 · 0 repositories · arXiv:2312.15393
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Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization 14 Dec 2023 · 0 repositories · arXiv:2312.08631
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Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and Regression 3 Nov 2023 · 1 repository · arXiv:2311.01782
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SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes 3 Nov 2023 · 0 repositories · arXiv:2311.01646
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On Training Implicit Meta-Learning With Applications to Inductive Weighing in Consistency Regularization 28 Oct 2023 · 0 repositories · arXiv:2310.18741
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KD-FixMatch: Knowledge Distillation Siamese Neural Networks 11 Sep 2023 · 0 repositories · arXiv:2309.05826
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Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning 7 Sep 2023 · 1 repository · arXiv:2309.03598Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
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Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size 7 Sep 2023 · 0 repositories · arXiv:2309.03469
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Boosting Semi-Supervised Learning by bridging high and low-confidence predictions 15 Aug 2023 · 0 repositories · arXiv:2308.07509
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SegMatch: A semi-supervised learning method for surgical instrument segmentation 9 Aug 2023 · 0 repositories · arXiv:2308.05232
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Exploring the Boundaries of Semi-Supervised Facial Expression Recognition using In-Distribution, Out-of-Distribution, and Unconstrained Data 2 Jun 2023 · 1 repository · arXiv:2306.01229
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RelationMatch: Matching In-batch Relationships for Semi-supervised Learning 17 May 2023 · 1 repository · arXiv:2305.10397Syntology ran 1 of 1 samples · 0 unverified
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Distilling from Similar Tasks for Transfer Learning on a Budget 24 Apr 2023 · 1 repository · arXiv:2304.12314
Tasks archive 2025-07-28
20 shown of 85 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections