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 101–125 of 167 papers

Title	Date	Tasks	Status
Learning The Structure of Deep Convolutional Networks	Dec 1, 2015	image-classificationImage Classification	—Unverified
Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification	Feb 25, 2025	image-classificationImage Classification	—Unverified
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification	Jul 4, 2024	image-classificationImage Classification	—Unverified
LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative Matching	Oct 13, 2020	Domain AdaptationSemi-Supervised Image Classification	—Unverified
Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification	Jun 12, 2019	ClassificationGeneral Classification	—Unverified
Adversarial Transformations for Semi-Supervised Learning	Nov 13, 2019	General Classificationimage-classification	—Unverified
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning	Jun 14, 2016	Data AugmentationSemi-Supervised Image Classification	—Unverified
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples	Oct 26, 2021	Multiple-choiceSemi-Supervised Image Classification	—Unverified
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning	Jan 16, 2021	Contrastive LearningSelf-Supervised Learning	—Unverified
10,000+ Times Accelerated Robust Subset Selection (ARSS)	Sep 12, 2014	10-shot image generationAction Recognition	—Unverified
Color-S^4L: Self-supervised Semi-supervised Learning with Image Colorization	Jan 8, 2024	Colorizationimage-classification	—Unverified
Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text	Apr 30, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification	Jun 19, 2021	Classificationimage-classification	—Unverified
Multi-class Generative Adversarial Nets for Semi-supervised Image Classification	Feb 13, 2021	ClassificationDomain Adaptation	—Unverified
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning	Jul 22, 2020	Semi-Supervised Image Classification	—Unverified
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy	Jun 20, 2019	BenchmarkingMulti-class Classification	—Unverified
Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision	Apr 16, 2025	Classificationimage-classification	—Unverified
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework	Dec 3, 2022	Federated Learningimage-classification	—Unverified
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher	Dec 27, 2022	Semi-Supervised Image Classification	—Unverified
An analysis of over-sampling labeled data in semi-supervised learning with FixMatch	Jan 3, 2022	image-classificationImage Classification	CodeCode Available
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning	Apr 27, 2024	image-classificationImage Classification	CodeCode Available
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels	Oct 23, 2020	DiagnosticMedical Image Analysis	CodeCode Available
Transfer of Pretrained Model Weights Substantially Improves Semi-Supervised Image Classification	Sep 2, 2021	image-classificationImage Classification	CodeCode Available
Semi-Supervised Learning with Normalizing Flows	Dec 30, 2019	image-classificationImage Classification	CodeCode Available
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning	Jun 25, 2019	image-classificationImage Classification	CodeCode Available

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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