SOTAVerified|Agents Browse Leaderboard About

Unsupervised Image Classification

Models that learn to label each image (i.e. cluster the dataset into its ground truth classes) without seeing the ground truth labels.

Image credit: ImageNet clustering results of SCAN: Learning to Classify Images without Labels (ECCV 2020)

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 21–30 of 45 papers

Title	Date	Tasks	Status	Hype	Score
Unsupervised Deep Embedding for Clustering Analysis	Nov 19, 2015	ClusteringImage Clustering	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 and Semi-supervised Learning with Categorical Generative Adversarial Networks	Nov 19, 2015	ClusteringGeneral Classification	CodeCode Available	0	5
Inferencing Based on Unsupervised Learning of Disentangled Representations	Mar 7, 2018	DescriptiveRepresentation Learning	CodeCode Available	0	5
Unsupervised Image Classification for Deep Representation Learning	Jun 20, 2020	ClassificationClustering	CodeCode Available	0	5
The VampPrior Mixture Model	Feb 6, 2024	ClusteringImage Clustering	CodeCode Available	0	5
IPCL: Iterative Pseudo-Supervised Contrastive Learning to Improve Self-Supervised Feature Representation	Mar 18, 2024	Contrastive LearningData Augmentation	CodeCode Available	0	5
MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation	Mar 21, 2023	ClusteringContrastive Learning	CodeCode Available	0	5
Learning Discrete Representations via Information Maximizing Self-Augmented Training	Feb 28, 2017	ClusteringData Augmentation	CodeCode Available	0	5
PixelGAN Autoencoders	Jun 2, 2017	DecoderGenerative Adversarial Network	CodeCode Available	0	5

Show:10 25 50

← PrevPage 3 of 5Next →

No leaderboard results yet.