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 201236 of 236 papers

TitleStatusHype
Text-Guided Alternative Image Clustering0
Unsupervised organization of cervical cells using high resolution digital holographic microscopy0
Image Clustering without Ground Truth0
Image Representation Learning Using Graph Regularized Auto-Encoders0
Image Similarity Using Sparse Representation and Compression Distance0
Image Trinarization Using a Partial Differential Equations: A Novel Approach to Automatic Sperm Image Analysis0
Improving Deep Image Clustering With Spatial Transformer Layers0
Improving Image Clustering using Sparse Text and the Wisdom of the Crowds0
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering0
Unsupervised Transfer Learning with Self-Supervised Remedy0
Interpretable Image Clustering via Diffeomorphism-Aware K-Means0
There’s a Time and Place for Reasoning Beyond the Image0
Joint Debiased Representation and Image Clustering Learning with Self-Supervision0
Joint Learning of Self-Representation and Indicator for Multi-View Image Clustering0
Keep It Light! Simplifying Image Clustering Via Text-Free Adapters0
Language-Guided Image Clustering0
Weakly supervised construction of a repository of iconic images0
Learning eating environments through scene clustering0
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches0
Joint Debiased Representation Learning and Imbalanced Data Clustering0
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation0
Dataset Summarization by K Principal Concepts0
Locally linear representation for image clustering0
Low-Rank Isomap Algorithm0
MemeSequencer: Sparse Matching for Embedding Image Macros0
Memoized Online Variational Inference for Dirichlet Process Mixture Models0
MES-Loss: Mutually equidistant separation metric learning loss function0
Metric Imitation by Manifold Transfer for Efficient Vision Applications0
Time Series Clustering for Grouping Products Based on Price and Sales Patterns0
Transformed Subspace Clustering0
Multi-level Cross-modal Alignment for Image Clustering0
Multi-level Feature Learning on Embedding Layer of Convolutional Autoencoders and Deep Inverse Feature Learning for Image Clustering0
Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering0
Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning0
Use Image Clustering to Facilitate Technology Assisted Review0
Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering0
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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