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 51100 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 Autoencoders0
Advanced Clustering Framework for Semiconductor Image Analytics Integrating Deep TDA with Self-Supervised and Transfer Learning Techniques0
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision0
Online Meta-learning for AutoML in Real-time (OnMAR)0
Keep It Light! Simplifying Image Clustering Via Text-Free Adapters0
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 Clustering0
I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset FramesCode0
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering0
Dual-Level Cross-Modal Contrastive ClusteringCode0
Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learning0
Dual Advancement of Representation Learning and Clustering for Sparse and Noisy ImagesCode0
Clustering-friendly Representation Learning for Enhancing Salient Features0
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 Ability0
Text-Guided Alternative Image Clustering0
Scaling Up Deep Clustering Methods Beyond ImageNet-1K0
Towards Realistic Long-tailed Semi-supervised Learning in an Open WorldCode0
Contrastive Mean-Shift Learning for Generalized Category Discovery0
Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering0
Terraced Compression Method with Automated Threshold Selection for Multidimensional Image Clustering of Heterogeneous Bodies0
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 Clustering0
Deep Structure and Attention Aware Subspace ClusteringCode0
Image Clustering using Restricted Boltzman Machine0
Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering0
Patch-Based Deep Unsupervised Image Segmentation using Graph Cuts0
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering0
Quantum Block-Matching Algorithm using Dissimilarity Measure0
Bridging Distribution Learning and Image Clustering in High-dimensional Space0
MES-Loss: Mutually equidistant separation metric learning loss function0
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization0
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 Generation0
Contrastive learning for unsupervised medical image clustering and reconstruction0
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)Accuracy1Unverified
2PRCut (CLIP)Accuracy0.98Unverified
3PRO-DSCAccuracy0.97Unverified
4TEMI CLIP ViT-L (openai)Accuracy0.97Unverified
5DPACAccuracy0.93Unverified
6SPICE-BPAAccuracy0.93Unverified
7SeCuAccuracy0.93Unverified
8TACAccuracy0.92Unverified
9SPICE*Accuracy0.92Unverified
10DCN+BRBAccuracy0.91Unverified
#ModelMetricClaimedVerifiedStatus
1TURTLE (CLIP + DINOv2)Accuracy0.9Unverified
2PRCut (DinoV2)Accuracy0.79Unverified
3PRO-DSCAccuracy0.77Unverified
4TEMI CLIP ViT-L (openai)Accuracy0.74Unverified
5TEMI DINO ViT-BAccuracy0.67Unverified
6ITAEAccuracy0.65Unverified
7SPICE*Accuracy0.58Unverified
8HUMEAccuracy0.56Unverified
9DPACAccuracy0.56Unverified
10SPICE-BPAAccuracy0.55Unverified
#ModelMetricClaimedVerifiedStatus
1TURTLE (CLIP + DINOv2)Accuracy1Unverified
2TEMI DINO ViT-BAccuracy0.99Unverified
3TACAccuracy0.98Unverified
4SPICE-BPAAccuracy0.94Unverified
5DPACAccuracy0.93Unverified
6SPICE*Accuracy0.93Unverified
7HUMEAccuracy0.91Unverified
8TCLAccuracy0.87Unverified
9RUCAccuracy0.87Unverified
10IMC-SwAV (Best)Accuracy0.85Unverified
#ModelMetricClaimedVerifiedStatus
1MAE-CT (best)Accuracy0.94Unverified
2MAE-CT (mean)Accuracy0.87Unverified
3PRO-DSCAccuracy0.84Unverified
4ProPos*Accuracy0.78Unverified
5ProPosAccuracy0.75Unverified
6DPACAccuracy0.73Unverified
7ConCURLAccuracy0.7Unverified
8SPICEAccuracy0.68Unverified
9TCLAccuracy0.64Unverified
10IDFDAccuracy0.59Unverified
#ModelMetricClaimedVerifiedStatus
1TACNMI0.99Unverified
2SPICENMI0.93Unverified
3DPACNMI0.93Unverified
4ProPos*NMI0.91Unverified
5CoHiClustNMI0.91Unverified
6ConCURLNMI0.91Unverified
7C3NMI0.91Unverified
8IDFDNMI0.9Unverified
9ProPosNMI0.9Unverified
10TCLNMI0.88Unverified
#ModelMetricClaimedVerifiedStatus
1SPCNMI0.98Unverified
2ADECNMI0.97Unverified
3DynAENMI0.96Unverified
4N2D (UMAP)NMI0.96Unverified
5DDC-DANMI0.96Unverified
6DENNMI0.96Unverified
7DTI-ClusteringNMI0.94Unverified
8EnSCNMI0.94Unverified
9ClusterGANNMI0.94Unverified
10DBCNMI0.94Unverified
#ModelMetricClaimedVerifiedStatus
1SPCNMI0.95Unverified
2DynAENMI0.95Unverified
3DENNMI0.94Unverified
4DDC-DANMI0.94Unverified
5SR-K-meansNMI0.94Unverified
6ClusterGANNMI0.93Unverified
7DMSCNMI0.93Unverified
8DDCNMI0.92Unverified
9JULE-RCNMI0.91Unverified
10N2D (UMAP)NMI0.9Unverified
#ModelMetricClaimedVerifiedStatus
1PRO-DSCAccuracy0.7Unverified
2ITAEAccuracy0.68Unverified
3SPICEAccuracy0.31Unverified
4IMC-SwAV (Best)Accuracy0.28Unverified
5IMC-SwAV (Avg+-)Accuracy0.28Unverified
6C3Accuracy0.14Unverified
7CCAccuracy0.14Unverified
8MMDCAccuracy0.12Unverified
9DCCMAccuracy0.11Unverified
10DACAccuracy0.07Unverified
#ModelMetricClaimedVerifiedStatus
1PRCut (DinoV2)Accuracy0.79Unverified
2VMMAccuracy0.72Unverified
3SPCAccuracy0.68Unverified
4N2D (UMAP)Accuracy0.67Unverified
5CoHiClustAccuracy0.65Unverified
6DENAccuracy0.64Unverified
7PSSCAccuracy0.63Unverified
8GDLAccuracy0.63Unverified
9DDCAccuracy0.62Unverified
10DTI-ClusteringAccuracy0.61Unverified
#ModelMetricClaimedVerifiedStatus
1TURTLE (CLIP + DINOv2)Accuracy72.9Unverified
2MIM-Refiner (D2V2-ViT-H/14)Accuracy67.3Unverified
3SeLaNMI66.4Unverified
4PRO-DSCAccuracy65Unverified
5MIM-Refiner (MAE-ViT-H/14)Accuracy64.6Unverified