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 110 of 167 papers

TitleStatusHype
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
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image ClassificationCode1
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FixMatch+CRPercentage error49.23Unverified
2CCSSL(FixMatch)Percentage error38.81Unverified
3NP-MatchPercentage error38.67Unverified
4FreeMatchPercentage error37.98Unverified
5SimMatchPercentage error37.81Unverified
6ShrinkMatchPercentage error35.36Unverified
7SemiOccamPercentage error26.59Unverified
8ReMixMatchPercentage error16.8Unverified
9SemiRewardPercentage error15.62Unverified