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 51–100 of 236 papers

TitleStatusHype
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace ClusteringCode1
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial NetworksCode1
Unsupervised Deep Embedding for Clustering AnalysisCode1
Scalable Sparse Subspace Clustering by Orthogonal Matching PursuitCode1
Auto-Encoding Variational BayesCode1
Sparse Subspace Clustering: Algorithm, Theory, and ApplicationsCode1
Structural-Spectral Graph Convolution with Evidential Edge Learning for Hyperspectral Image ClusteringCode0
Unsupervised Deep Clustering of MNIST with Triplet-Enhanced Convolutional Autoencoders—0
Advanced Clustering Framework for Semiconductor Image Analytics Integrating Deep TDA with Self-Supervised and Transfer Learning Techniques—0
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision—0
Online Meta-learning for AutoML in Real-time (OnMAR)—0
Keep It Light! Simplifying Image Clustering Via Text-Free Adapters—0
Deep Clustering via Probabilistic Ratio-Cut OptimizationCode0
Graph Cut-guided Maximal Coding Rate Reduction for Learning Image Embedding and ClusteringCode0
DiFiC: Your Diffusion Model Holds the Secret to Fine-Grained Clustering—0
I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset FramesCode0
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering—0
Dual-Level Cross-Modal Contrastive ClusteringCode0
Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learning—0
Dual Advancement of Representation Learning and Clustering for Sparse and Noisy ImagesCode0
Clustering-friendly Representation Learning for Enhancing Salient Features—0
Image Clustering Algorithm Based on Self-Supervised Pretrained Models and Latent Feature Distribution OptimizationCode0
Deep Online Probability Aggregation ClusteringCode0
Funny-Valen-Tine: Planning Solution Distribution Enhances Machine Abstract Reasoning Ability—0
Text-Guided Alternative Image Clustering—0
Scaling Up Deep Clustering Methods Beyond ImageNet-1K—0
Towards Realistic Long-tailed Semi-supervised Learning in an Open WorldCode0
Contrastive Mean-Shift Learning for Generalized Category Discovery—0
Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering—0
Terraced Compression Method with Automated Threshold Selection for Multidimensional Image Clustering of Heterogeneous Bodies—0
IPCL: Iterative Pseudo-Supervised Contrastive Learning to Improve Self-Supervised Feature RepresentationCode0
Rethinking cluster-conditioned diffusion models for label-free image synthesisCode0
The VampPrior Mixture ModelCode0
Learning Representations for Clustering via Partial Information Discrimination and Cross-Level InteractionCode0
Multi-level Cross-modal Alignment for Image Clustering—0
Deep Structure and Attention Aware Subspace ClusteringCode0
Image Clustering using Restricted Boltzman Machine—0
Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering—0
Patch-Based Deep Unsupervised Image Segmentation using Graph Cuts—0
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering—0
Quantum Block-Matching Algorithm using Dissimilarity Measure—0
Bridging Distribution Learning and Image Clustering in High-dimensional Space—0
MES-Loss: Mutually equidistant separation metric learning loss function—0
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization—0
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and MetricCode0
Improving Image Clustering through Sample Ranking and Its Application to remote--sensing imagesCode0
Self-supervised Image Clustering from Multiple Incomplete Views via Constrastive Complementary Generation—0
Contrastive learning for unsupervised medical image clustering and reconstruction—0
Clustering Without Knowing How To: Application and EvaluationCode0
Efficient Deep Clustering of Human Activities and How to Improve EvaluationCode0
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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