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 101–150 of 236 papers

TitleStatusHype
AutoNovel: Automatically Discovering and Learning Novel Visual CategoriesCode1
Clustering-friendly Representation Learning via Instance Discrimination and Feature DecorrelationCode1
Unsupervised Visual Representation Learning by Online Constrained K-MeansCode1
MiCE: Mixture of Contrastive Experts for Unsupervised Image ClusteringCode1
Representation Learning for Clustering via Building ConsensusCode0
Dataset Summarization by K Principal Concepts—0
Unsupervised Classification for Polarimetric SAR Data Using Variational Bayesian Wishart Mixture Model with Inverse Gamma-Gamma Prior—0
SPICE: Semantic Pseudo-labeling for Image ClusteringCode1
Information Maximization Clustering via Multi-View Self-LabellingCode1
Low-Rank Isomap Algorithm—0
On PyTorch Implementation of Density Estimators for von Mises-Fisher and Its MixtureCode1
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction—0
Combining pretrained CNN feature extractors to enhance clustering of complex natural images—0
Improving Unsupervised Image Clustering With Robust LearningCode1
Interpretable Image Clustering via Diffeomorphism-Aware K-Means—0
Doubly Stochastic Subspace ClusteringCode0
Scattering Transform Based Image Clustering using Projection onto Orthogonal ComplementCode0
Image Clustering using an Augmented Generative Adversarial Network and Information MaximizationCode0
Multi-level Feature Learning on Embedding Layer of Convolutional Autoencoders and Deep Inverse Feature Learning for Image Clustering—0
Contrastive ClusteringCode1
SA-Net: A deep spectral analysis network for image clustering—0
Spectral Analysis Network for Deep Representation Learning and Image Clustering—0
Self-Supervised Learning for Large-Scale Unsupervised Image ClusteringCode1
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image ClassificationCode1
Deep Image Clustering with Category-Style RepresentationCode1
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches—0
Unsupervised Image Classification for Deep Representation LearningCode0
Deep Transformation-Invariant ClusteringCode1
LSD-C: Linearly Separable Deep ClustersCode1
Dissimilarity Mixture Autoencoder for Deep ClusteringCode1
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate ReductionCode1
Interpretable Visualizations with Differentiating Embedding NetworksCode0
Unsupervised Transfer Learning with Self-Supervised Remedy—0
Improving k-Means Clustering Performance with Disentangled Internal RepresentationsCode0
SCAN: Learning to Classify Images without LabelsCode2
Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy—0
Variational Clustering: Leveraging Variational Autoencoders for Image Clustering—0
Hyperspectral Image Clustering with Spatially-Regularized UltrametricsCode0
DHOG: Deep Hierarchical Object Grouping—0
FLIC: Fast Lidar Image Clustering—0
GATCluster: Self-Supervised Gaussian-Attention Network for Image ClusteringCode1
Tree-SNE: Hierarchical Clustering and Visualization Using t-SNECode1
Leveraging tensor kernels to reduce objective function mismatch in deep clusteringCode0
Image Analytics for Legal Document Review: A Transfer Learning Approach—0
Graph-based Multi-view Binary Learning for Image Clustering—0
Transformed Subspace Clustering—0
Multi-Modal Deep Clustering: Unsupervised Partitioning of ImagesCode0
Self-labelling via simultaneous clustering and representation learningCode1
Spatial Sparse subspace clustering for Compressive Spectral imaging—0
Learning eating environments through scene clustering—0
Show:102550
← PrevPage 3 of 5Next →

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