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 76–100 of 236 papers

TitleStatusHype
Scattering Transform Based Image Clustering using Projection onto Orthogonal ComplementCode0
Deep Clustering via Probabilistic Ratio-Cut OptimizationCode0
Graph Cut-guided Maximal Coding Rate Reduction for Learning Image Embedding and ClusteringCode0
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy MinimizationCode0
Deep clustering: On the link between discriminative models and K-meansCode0
Large-Scale Hyperspectral Image Clustering Using Contrastive LearningCode0
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and DiscoveryCode0
Adaptive Low-Rank Kernel Subspace ClusteringCode0
Joint Unsupervised Learning of Deep Representations and Image ClustersCode0
Learning Hierarchical Graph Neural Networks for Image ClusteringCode0
Deep Adaptive Image ClusteringCode0
Feature-Based Image Clustering and Segmentation Using WaveletsCode0
IPCL: Iterative Pseudo-Supervised Contrastive Learning to Improve Self-Supervised Feature RepresentationCode0
I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset FramesCode0
Learning Representations for Clustering via Partial Information Discrimination and Cross-Level InteractionCode0
Multi-Modal Deep Clustering: Unsupervised Partitioning of ImagesCode0
Graph Degree Linkage: Agglomerative Clustering on a Directed GraphCode0
Decipherment of Historical Manuscript ImagesCode0
Image Clustering Algorithm Based on Self-Supervised Pretrained Models and Latent Feature Distribution OptimizationCode0
Improving k-Means Clustering Performance with Disentangled Internal RepresentationsCode0
Accurate and Scalable Image Clustering Based On Sparse Representation of Camera FingerprintCode0
A Simple Approach to Automated Spectral ClusteringCode0
Improving Image Clustering With Multiple Pretrained CNN Feature ExtractorsCode0
Hyperspectral Image Clustering with Spatially-Regularized UltrametricsCode0
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
8HUMEAccuracy0.56—Unverified
9DPACAccuracy0.56—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
5CoHiClustNMI0.91—Unverified
6ConCURLNMI0.91—Unverified
7C3NMI0.91—Unverified
8IDFDNMI0.9—Unverified
9ProPosNMI0.9—Unverified
10TCLNMI0.88—Unverified
#ModelMetricClaimedVerifiedStatus
1SPCNMI0.98—Unverified
2ADECNMI0.97—Unverified
3DynAENMI0.96—Unverified
4N2D (UMAP)NMI0.96—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