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 26–50 of 167 papers

Title	Date	Tasks	Status	Hype
NP-Match: When Neural Processes meet Semi-Supervised Learning	Jul 3, 2022	image-classificationImage Classification	CodeCode Available	1
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization	Mar 27, 2022	Semi-Supervised Image Classification	CodeCode Available	1
Class-Aware Contrastive Semi-Supervised Learning	Mar 4, 2022	Image ClassificationPseudo Label	CodeCode Available	1
Debiased Self-Training for Semi-Supervised Learning	Feb 15, 2022	Object RecognitionScene Classification	CodeCode Available	1
Debiased Learning from Naturally Imbalanced Pseudo-Labels	Jan 5, 2022	counterfactualCounterfactual Reasoning	CodeCode Available	1
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization	Dec 1, 2021	Novelty DetectionOutlier Detection	CodeCode Available	1
Semi-Supervised Vision Transformers	Nov 22, 2021	image-classificationImage Classification	CodeCode Available	1
iBOT: Image BERT Pre-Training with Online Tokenizer	Nov 15, 2021	image-classificationImage Classification	CodeCode Available	1
Probabilistic Contrastive Learning for Domain Adaptation	Nov 11, 2021	Contrastive LearningDomain Adaptation	CodeCode Available	1
Self-Supervised Learning by Estimating Twin Class Distributions	Oct 14, 2021	Fine-Grained Image ClassificationImage Classification	CodeCode Available	1
Weakly Supervised Contrastive Learning	Oct 10, 2021	Contrastive LearningRepresentation Learning	CodeCode Available	1
Semi-supervised Image Classification with Grad-CAM Consistency	Aug 31, 2021	Classificationimage-classification	CodeCode Available	1
A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms	Jul 30, 2021	image-classificationImage Classification	CodeCode Available	1
Semi-Supervised Learning with Multi-Head Co-Training	Jul 10, 2021	Data AugmentationDiversity	CodeCode Available	1
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning	Jun 10, 2021	imbalanced classificationPseudo Label	CodeCode Available	1
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification	Jun 8, 2021	Semi-Supervised Image Classification	CodeCode Available	1
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning	May 11, 2021	Representation LearningSelf-Supervised Image Classification	CodeCode Available	1
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples	Apr 28, 2021	Image ClassificationPseudo Label	CodeCode Available	1
All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training	Apr 12, 2021	AllSemi-Supervised Image Classification	CodeCode Available	1
SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification	Mar 30, 2021	ClassificationGeneral Classification	CodeCode Available	1
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation	Mar 29, 2021	Domain AdaptationScene Segmentation	CodeCode Available	1
Barlow Twins: Self-Supervised Learning via Redundancy Reduction	Mar 4, 2021	General ClassificationImage Classification	CodeCode Available	1
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning	Jan 21, 2021	Self-Supervised LearningSemi-Supervised Image Classification	CodeCode Available	1
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning	Jan 15, 2021	Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATION	CodeCode Available	1
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs	Dec 26, 2020	ClassificationData Augmentation	CodeCode Available	1

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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