Semi-Supervised Image Classification

Semi-supervised image classification leverages unlabelled data as well as labelled data to increase classification performance.

You may want to read some blog posts to get an overview before reading the papers and checking the leaderboards:

An overview of proxy-label approaches for semi-supervised learning - Sebastian Ruder
Semi-Supervised Learning in Computer Vision - Amit Chaudhary

( Image credit: Self-Supervised Semi-Supervised Learning )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 76–100 of 167 papers

Title	Date	Tasks	Status	Hype	Score
Towards Semi-supervised Learning with Non-random Missing Labels	Aug 17, 2023	Semi-Supervised Image Classification	CodeCode Available	1	5
Unsupervised Data Augmentation for Consistency Training	Apr 29, 2019	Data AugmentationImage Augmentation	CodeCode Available	1	5
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination	Aug 9, 2020	Contrastive LearningSemi-Supervised Image Classification	CodeCode Available	1	5
Unsupervised Feature Learning via Non-Parametric Instance Discrimination	Jun 1, 2018	General Classificationobject-detection	CodeCode Available	1	5
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning	May 11, 2021	Representation LearningSelf-Supervised Image Classification	CodeCode Available	1	5
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning	Apr 13, 2017	Semi-Supervised Image Classification	CodeCode Available	1	5
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution	Apr 4, 2023	DisentanglementDomain Generalization	CodeCode Available	1	5
Weakly Supervised Contrastive Learning	Oct 10, 2021	Contrastive LearningRepresentation Learning	CodeCode Available	1	5
SESS: Self-Ensembling Semi-Supervised 3D Object Detection	Dec 26, 2019	3D Object Detectionimage-classification	CodeCode Available	0	5
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision	Feb 16, 2022	Action ClassificationAction Recognition	CodeCode Available	0	5
Online Semi-Supervised Learning in Contextual Bandits with Episodic Reward	Sep 17, 2020	ClusteringDecision Making	CodeCode Available	0	5
ViTSGMM: A Robust Semi-Supervised Image Recognition Network Using Sparse Labels	Jun 4, 2025	Semi-Supervised Image Classification	CodeCode Available	0	5
OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning	Sep 11, 2022	BenchmarkingClassification	CodeCode Available	0	5
SimMatch: Semi-supervised Learning with Similarity Matching	Mar 14, 2022	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	0	5
S4L: Self-Supervised Semi-Supervised Learning	May 9, 2019	General Classificationimage-classification	CodeCode Available	0	5
Stacked What-Where Auto-encoders	Jun 8, 2015	DecoderImage Classification	CodeCode Available	0	5
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering	Dec 1, 2020	ClusteringSemi-Supervised Image Classification	CodeCode Available	0	5
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data	Jun 2, 2023	Image ClassificationNetwork Pruning	CodeCode Available	0	5
CapsuleGAN: Generative Adversarial Capsule Network	Feb 17, 2018	General ClassificationGenerative Adversarial Network	CodeCode Available	0	5
Data-Efficient Image Recognition with Contrastive Predictive Coding	May 22, 2019	Contrastive LearningGeneral Classification	CodeCode Available	0	5
Structured Generative Adversarial Networks	Nov 2, 2017	image-classificationImage Classification	CodeCode Available	0	5
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector	Oct 24, 2023	Contrastive LearningSemi-Supervised Image Classification	CodeCode Available	0	5
Deep Reference Priors: What is the best way to pretrain a model?	Feb 1, 2022	image-classificationSemi-Supervised Image Classification	CodeCode Available	0	5
Self-supervised Pretraining of Visual Features in the Wild	Mar 2, 2021	Image ClassificationSelf-Supervised Image Classification	CodeCode Available	0	5
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision	May 11, 2022	Semi-Supervised Image Classification	CodeCode Available	0	5

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All datasets ImageNet - 10% labeled data ImageNet - 1% labeled data CIFAR-10, 4000 Labels cifar-100, 10000 Labels CIFAR-10, 250 Labels SVHN, 1000 labels SVHN, 250 Labels CIFAR-10, 40 Labels CIFAR-100, 400 Labels CIFAR-10, 1000 Labels CIFAR-100, 2500 Labels STL-10, 1000 Labels

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SimCLR (ResNet-50 4×)	Top 5 Accuracy	92.6	—	Unverified
2	Rotation + VAT + Ent. Min.	Top 5 Accuracy	91.23	—	Unverified
3	SimCLR (ResNet-50 2×)	Top 5 Accuracy	91.2	—	Unverified
4	Mean Teacher (ResNeXt-152)	Top 5 Accuracy	90.89	—	Unverified
5	OBoW (ResNet-50)	Top 5 Accuracy	90.7	—	Unverified
6	R2-D2 (ResNet-18)	Top 5 Accuracy	90.48	—	Unverified
7	FixMatch	Top 5 Accuracy	89.13	—	Unverified
8	UDA	Top 5 Accuracy	88.52	—	Unverified
9	SimCLR (ResNet-50)	Top 5 Accuracy	87.8	—	Unverified
10	DHO (ViT-Large)	Top 1 Accuracy	85.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DHO (ViT-Large)	Top 1 Accuracy	84.6	—	Unverified
2	OBoW (ResNet-50)	Top 5 Accuracy	82.9	—	Unverified
3	DHO (ViT-Base)	Top 1 Accuracy	81.6	—	Unverified
4	REACT (ViT-Large)	Top 1 Accuracy	81.6	—	Unverified
5	Semi-SST (ViT-Huge)	Top 1 Accuracy	80.7	—	Unverified
6	Meta Co-Training	Top 1 Accuracy	80.7	—	Unverified
7	Super-SST (ViT-Huge)	Top 1 Accuracy	80.3	—	Unverified
8	Semi-ViT (ViT-Huge)	Top 1 Accuracy	80	—	Unverified
9	Semi-ViT (ViT-Large)	Top 1 Accuracy	77.3	—	Unverified
10	Super-SST (ViT-Small distilled)	Top 1 Accuracy	76.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Γ-model	Percentage error	20.4	—	Unverified
2	GAN	Percentage error	15.59	—	Unverified
3	Bad GAN	Percentage error	14.41	—	Unverified
4	Triple-GAN-V2 (CNN-13, no aug)	Percentage error	12.41	—	Unverified
5	Pi Model	Percentage error	12.16	—	Unverified
6	SESEMI SSL (ConvNet)	Percentage error	11.65	—	Unverified
7	VAT	Percentage error	11.36	—	Unverified
8	GLOT-DR	Percentage error	10.6	—	Unverified
9	VAT+EntMin	Percentage error	10.55	—	Unverified
10	Triple-GAN-V2 (CNN-13)	Percentage error	10.01	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Ⅱ-Model	Percentage error	39.19	—	Unverified
2	SESEMI SSL (ConvNet)	Percentage error	38.7	—	Unverified
3	Temporal ensembling	Percentage error	38.65	—	Unverified
4	R2-D2 (CNN-13)	Percentage error	32.87	—	Unverified
5	Dual Student (480)	Percentage error	32.77	—	Unverified
6	UPS (CNN-13)	Percentage error	32	—	Unverified
7	SHOT-VAE	Percentage error	25.3	—	Unverified
8	LiDAM	Percentage error	23.22	—	Unverified
9	EnAET (WRN-28-2-Large)	Percentage error	22.92	—	Unverified
10	FixMatch (RA, WRN-28-8)	Percentage error	22.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Ⅱ-Model	Percentage error	53.12	—	Unverified
2	MixUp	Percentage error	47.43	—	Unverified
3	MeanTeacher	Percentage error	47.32	—	Unverified
4	VAT	Percentage error	36.03	—	Unverified
5	LiDAM	Percentage error	19.17	—	Unverified
6	MixMatch	Percentage error	11.08	—	Unverified
7	RealMix	Percentage error	9.79	—	Unverified
8	EnAET	Percentage error	7.6	—	Unverified
9	ReMixMatch	Percentage error	6.27	—	Unverified
10	FixMatch+CR	Percentage error	5.04	—	Unverified