SOTAVerified

Image Clustering

Models that partition the dataset into semantically meaningful clusters without having access to the ground truth labels.

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

Papers

Showing 1–50 of 236 papers

TitleStatusHype
The Balanced-Pairwise-Affinities Feature TransformCode2
Autonomous clustering by fast find of mass and distance peaksCode2
SCAN: Learning to Classify Images without LabelsCode2
Let Go of Your Labels with Unsupervised TransferCode2
Sparse Subspace Clustering: Algorithm, Theory, and ApplicationsCode1
The Pursuit of Human Labeling: A New Perspective on Unsupervised LearningCode1
There is a Time and Place for Reasoning Beyond the ImageCode1
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate ReductionCode1
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained RepresentationsCode1
MiCE: Mixture of Contrastive Experts for Unsupervised Image ClusteringCode1
Selective Pseudo-label ClusteringCode1
Self-Supervised Learning for Large-Scale Unsupervised Image ClusteringCode1
Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image ClusteringCode1
Auto-Encoding Variational BayesCode1
GATCluster: Self-Supervised Gaussian-Attention Network for Image ClusteringCode1
Deep Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional NetworksCode1
Learning Representation for Clustering via Prototype Scattering and Positive SamplingCode1
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained ModelsCode1
Improving Unsupervised Image Clustering With Robust LearningCode1
Invariant Information Clustering for Unsupervised Image Classification and SegmentationCode1
C3: Cross-instance guided Contrastive ClusteringCode1
LSD-C: Linearly Separable Deep ClustersCode1
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace ClusteringCode1
Scalable Sparse Subspace Clustering by Orthogonal Matching PursuitCode1
Clustering-friendly Representation Learning via Instance Discrimination and Feature DecorrelationCode1
Self-labelling via simultaneous clustering and representation learningCode1
SPICE: Semantic Pseudo-labeling for Image ClusteringCode1
Stable Cluster Discrimination for Deep ClusteringCode1
Contrastive ClusteringCode1
Text-Guided Image ClusteringCode1
Deep Image Clustering with Category-Style RepresentationCode1
Exploring the Limits of Deep Image Clustering using Pretrained ModelsCode1
Contrastive Hierarchical ClusteringCode1
AutoNovel: Automatically Discovering and Learning Novel Visual CategoriesCode1
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly TypesCode1
Contrastive Tuning: A Little Help to Make Masked Autoencoders ForgetCode1
HIRL: A General Framework for Hierarchical Image Representation LearningCode1
Image Clustering Conditioned on Text CriteriaCode1
Breaking the Reclustering Barrier in Centroid-based Deep ClusteringCode1
Deep Relational Metric LearningCode1
Information Maximization Clustering via Multi-View Self-LabellingCode1
Deep Clustering for Unsupervised Learning of Visual FeaturesCode1
Image Clustering with External GuidanceCode1
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image ClassificationCode1
Deep Transformation-Invariant ClusteringCode1
Local Connectivity-Based Density Estimation for Face ClusteringCode1
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous DrivingCode1
On PyTorch Implementation of Density Estimators for von Mises-Fisher and Its MixtureCode1
Dissimilarity Mixture Autoencoder for Deep ClusteringCode1
There’s a Time and Place for Reasoning Beyond the ImageCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TURTLE (CLIP + DINOv2)Accuracy1—Unverified
2PRCut (CLIP)Accuracy0.98—Unverified
3PRO-DSCAccuracy0.97—Unverified
4TEMI CLIP ViT-L (openai)Accuracy0.97—Unverified
5DPACAccuracy0.93—Unverified
6SPICE-BPAAccuracy0.93—Unverified
7SeCuAccuracy0.93—Unverified
8TACAccuracy0.92—Unverified
9SPICE*Accuracy0.92—Unverified
10DCN+BRBAccuracy0.91—Unverified
#ModelMetricClaimedVerifiedStatus
1TURTLE (CLIP + DINOv2)Accuracy0.9—Unverified
2PRCut (DinoV2)Accuracy0.79—Unverified
3PRO-DSCAccuracy0.77—Unverified
4TEMI CLIP ViT-L (openai)Accuracy0.74—Unverified
5TEMI DINO ViT-BAccuracy0.67—Unverified
6ITAEAccuracy0.65—Unverified
7SPICE*Accuracy0.58—Unverified
8DPACAccuracy0.56—Unverified
9HUMEAccuracy0.56—Unverified
10SPICE-BPAAccuracy0.55—Unverified
#ModelMetricClaimedVerifiedStatus
1TURTLE (CLIP + DINOv2)Accuracy1—Unverified
2TEMI DINO ViT-BAccuracy0.99—Unverified
3TACAccuracy0.98—Unverified
4SPICE-BPAAccuracy0.94—Unverified
5DPACAccuracy0.93—Unverified
6SPICE*Accuracy0.93—Unverified
7HUMEAccuracy0.91—Unverified
8TCLAccuracy0.87—Unverified
9RUCAccuracy0.87—Unverified
10IMC-SwAV (Best)Accuracy0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1MAE-CT (best)Accuracy0.94—Unverified
2MAE-CT (mean)Accuracy0.87—Unverified
3PRO-DSCAccuracy0.84—Unverified
4ProPos*Accuracy0.78—Unverified
5ProPosAccuracy0.75—Unverified
6DPACAccuracy0.73—Unverified
7ConCURLAccuracy0.7—Unverified
8SPICEAccuracy0.68—Unverified
9TCLAccuracy0.64—Unverified
10IDFDAccuracy0.59—Unverified
#ModelMetricClaimedVerifiedStatus
1TACNMI0.99—Unverified
2SPICENMI0.93—Unverified
3DPACNMI0.93—Unverified
4ProPos*NMI0.91—Unverified
5ConCURLNMI0.91—Unverified
6CoHiClustNMI0.91—Unverified
7C3NMI0.91—Unverified
8IDFDNMI0.9—Unverified
9ProPosNMI0.9—Unverified
10TCLNMI0.88—Unverified
#ModelMetricClaimedVerifiedStatus
1SPCNMI0.98—Unverified
2ADECNMI0.97—Unverified
3N2D (UMAP)NMI0.96—Unverified
4DynAENMI0.96—Unverified
5DDC-DANMI0.96—Unverified
6DENNMI0.96—Unverified
7DTI-ClusteringNMI0.94—Unverified
8EnSCNMI0.94—Unverified
9ClusterGANNMI0.94—Unverified
10DBCNMI0.94—Unverified
#ModelMetricClaimedVerifiedStatus
1SPCNMI0.95—Unverified
2DynAENMI0.95—Unverified
3DENNMI0.94—Unverified
4DDC-DANMI0.94—Unverified
5SR-K-meansNMI0.94—Unverified
6ClusterGANNMI0.93—Unverified
7DMSCNMI0.93—Unverified
8DDCNMI0.92—Unverified
9JULE-RCNMI0.91—Unverified
10N2D (UMAP)NMI0.9—Unverified
#ModelMetricClaimedVerifiedStatus
1PRO-DSCAccuracy0.7—Unverified
2ITAEAccuracy0.68—Unverified
3SPICEAccuracy0.31—Unverified
4IMC-SwAV (Best)Accuracy0.28—Unverified
5IMC-SwAV (Avg+-)Accuracy0.28—Unverified
6C3Accuracy0.14—Unverified
7CCAccuracy0.14—Unverified
8MMDCAccuracy0.12—Unverified
9DCCMAccuracy0.11—Unverified
10DACAccuracy0.07—Unverified
#ModelMetricClaimedVerifiedStatus
1PRCut (DinoV2)Accuracy0.79—Unverified
2VMMAccuracy0.72—Unverified
3SPCAccuracy0.68—Unverified
4N2D (UMAP)Accuracy0.67—Unverified
5CoHiClustAccuracy0.65—Unverified
6DENAccuracy0.64—Unverified
7PSSCAccuracy0.63—Unverified
8GDLAccuracy0.63—Unverified
9DDCAccuracy0.62—Unverified
10DTI-ClusteringAccuracy0.61—Unverified
#ModelMetricClaimedVerifiedStatus
1TURTLE (CLIP + DINOv2)Accuracy72.9—Unverified
2MIM-Refiner (D2V2-ViT-H/14)Accuracy67.3—Unverified
3SeLaNMI66.4—Unverified
4PRO-DSCAccuracy65—Unverified
5MIM-Refiner (MAE-ViT-H/14)Accuracy64.6—Unverified