SOTAVerified

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:

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

Papers

Showing 51100 of 167 papers

TitleStatusHype
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised LearningCode1
[Re] Reimplementation of FixMatch and Investigation on Noisy (Pseudo) Labels and Confirmation Errors of FixMatchCode1
CoMatch: Semi-supervised Learning with Contrastive Graph RegularizationCode1
KeepAugment: A Simple Information-Preserving Data Augmentation ApproachCode1
Boosting Contrastive Self-Supervised Learning with False Negative CancellationCode1
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO ApproximationsCode1
Implicit Rank-Minimizing AutoencoderCode1
Unsupervised Feature Learning by Cross-Level Instance-Group DiscriminationCode1
FeatMatch: Feature-Based Augmentation for Semi-Supervised LearningCode1
Temporal Self-Ensembling Teacher for Semi-Supervised Object DetectionCode1
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised PerformanceCode1
Bootstrap your own latent: A new approach to self-supervised LearningCode1
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-ConsistencyCode1
Prototypical Contrastive Learning of Unsupervised RepresentationsCode1
DMT: Dynamic Mutual Training for Semi-Supervised LearningCode1
Meta Pseudo LabelsCode1
Subspace Capsule NetworkCode1
batchboost: regularization for stabilizing training with resistance to underfitting & overfittingCode1
Self-Supervised Learning of Pretext-Invariant RepresentationsCode1
Flow Contrastive Estimation of Energy-Based ModelsCode1
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation AnchoringCode1
Large Scale Adversarial Representation LearningCode1
MixMatch: A Holistic Approach to Semi-Supervised LearningCode1
Unsupervised Data Augmentation for Consistency TrainingCode1
Representation Learning with Contrastive Predictive CodingCode1
Unsupervised Feature Learning via Non-Parametric Instance DiscriminationCode1
mixup: Beyond Empirical Risk MinimizationCode1
Improved Regularization of Convolutional Neural Networks with CutoutCode1
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised LearningCode1
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning resultsCode1
Semi-Supervised Learning with Context-Conditional Generative Adversarial NetworksCode1
Improved Techniques for Training GANsCode1
Semi-Supervised Learning with Ladder NetworksCode1
ViTSGMM: A Robust Semi-Supervised Image Recognition Network Using Sparse LabelsCode0
Applications and Effect Evaluation of Generative Adversarial Networks in Semi-Supervised Learning0
Simple Semi-supervised Knowledge Distillation from Vision-Language Models via Dual-Head OptimizationCode0
Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision0
Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification0
SynCo: Synthetic Hard Negatives in Contrastive Learning for Better Unsupervised Visual RepresentationsCode0
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification0
A Method of Moments Embedding Constraint and its Application to Semi-Supervised LearningCode0
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model0
Color-S^4L: Self-supervised Semi-supervised Learning with Image Colorization0
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble ProjectorCode0
SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learningCode0
How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning0
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled DataCode0
RelationMatch: Matching In-batch Relationships for Semi-supervised LearningCode0
Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification0
Semi-MAE: Masked Autoencoders for Semi-supervised Vision Transformers0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SimCLR (ResNet-50 4×)Top 5 Accuracy92.6Unverified
2Rotation + VAT + Ent. Min.Top 5 Accuracy91.23Unverified
3SimCLR (ResNet-50 2×)Top 5 Accuracy91.2Unverified
4Mean Teacher (ResNeXt-152)Top 5 Accuracy90.89Unverified
5OBoW (ResNet-50)Top 5 Accuracy90.7Unverified
6R2-D2 (ResNet-18)Top 5 Accuracy90.48Unverified
7FixMatchTop 5 Accuracy89.13Unverified
8UDATop 5 Accuracy88.52Unverified
9SimCLR (ResNet-50)Top 5 Accuracy87.8Unverified
10DHO (ViT-Large)Top 1 Accuracy85.9Unverified
#ModelMetricClaimedVerifiedStatus
1DHO (ViT-Large)Top 1 Accuracy84.6Unverified
2OBoW (ResNet-50)Top 5 Accuracy82.9Unverified
3DHO (ViT-Base)Top 1 Accuracy81.6Unverified
4REACT (ViT-Large)Top 1 Accuracy81.6Unverified
5Semi-SST (ViT-Huge)Top 1 Accuracy80.7Unverified
6Meta Co-TrainingTop 1 Accuracy80.7Unverified
7Super-SST (ViT-Huge)Top 1 Accuracy80.3Unverified
8Semi-ViT (ViT-Huge)Top 1 Accuracy80Unverified
9Semi-ViT (ViT-Large)Top 1 Accuracy77.3Unverified
10Super-SST (ViT-Small distilled)Top 1 Accuracy76.9Unverified
#ModelMetricClaimedVerifiedStatus
1Γ-modelPercentage error20.4Unverified
2GANPercentage error15.59Unverified
3Bad GANPercentage error14.41Unverified
4Triple-GAN-V2 (CNN-13, no aug)Percentage error12.41Unverified
5Pi ModelPercentage error12.16Unverified
6SESEMI SSL (ConvNet)Percentage error11.65Unverified
7VATPercentage error11.36Unverified
8GLOT-DRPercentage error10.6Unverified
9VAT+EntMinPercentage error10.55Unverified
10Triple-GAN-V2 (CNN-13)Percentage error10.01Unverified
#ModelMetricClaimedVerifiedStatus
1Ⅱ-ModelPercentage error39.19Unverified
2SESEMI SSL (ConvNet)Percentage error38.7Unverified
3Temporal ensemblingPercentage error38.65Unverified
4R2-D2 (CNN-13)Percentage error32.87Unverified
5Dual Student (480)Percentage error32.77Unverified
6UPS (CNN-13)Percentage error32Unverified
7SHOT-VAEPercentage error25.3Unverified
8LiDAMPercentage error23.22Unverified
9EnAET (WRN-28-2-Large)Percentage error22.92Unverified
10FixMatch (RA, WRN-28-8)Percentage error22.6Unverified
#ModelMetricClaimedVerifiedStatus
1Ⅱ-ModelPercentage error53.12Unverified
2MixUpPercentage error47.43Unverified
3MeanTeacherPercentage error47.32Unverified
4VATPercentage error36.03Unverified
5LiDAMPercentage error19.17Unverified
6MixMatchPercentage error11.08Unverified
7RealMixPercentage error9.79Unverified
8EnAETPercentage error7.6Unverified
9ReMixMatchPercentage error6.27Unverified
10FixMatch+CRPercentage error5.04Unverified