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 176–200 of 236 papers

TitleStatusHype
Clustering with Jointly Learned Nonlinear Transforms Over Discriminating Min-Max Similarity/Dissimilarity Assignment—0
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids ConstructionCode0
Deep Representation Learning Characterized by Inter-class Separation for Image Clustering—0
Dynamic Graph-Based Label Propagation for Density Peaks ClusteringCode0
Deep Density-based Image ClusteringCode0
GAN-EM: GAN based EM learning framework—0
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and DiscoveryCode0
Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization—0
Unsupervised organization of cervical cells using high resolution digital holographic microscopy—0
Accurate and Scalable Image Clustering Based On Sparse Representation of Camera FingerprintCode0
Decipherment of Historical Manuscript ImagesCode0
Deep clustering: On the link between discriminative models and K-meansCode0
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering—0
A Transfer Learning based Feature-Weak-Relevant Method for Image Clustering—0
Improving Image Clustering With Multiple Pretrained CNN Feature ExtractorsCode0
Unsupervised Deep Generative Adversarial Hashing Network—0
Deep Adversarial Subspace Clustering—0
Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation—0
Image Clustering with Optimization Algorithms and Color SpaceCode0
Deep Multimodal Subspace Clustering NetworksCode0
Relative Pairwise Relationship Constrained Non-negative Matrix FactorisationCode0
MemeSequencer: Sparse Matching for Embedding Image Macros—0
Deep Adaptive Image ClusteringCode0
A Self-Balanced Min-Cut Algorithm for Image Clustering—0
Deep Subspace Clustering NetworksCode0
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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