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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 126–150 of 236 papers

Title	Date	Tasks	Status	Hype
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches	Jul 6, 2020	Clusteringimage-classification	—Unverified	0
Unsupervised Image Classification for Deep Representation Learning	Jun 20, 2020	ClassificationClustering	CodeCode Available	0
Deep Transformation-Invariant Clustering	Jun 19, 2020	ClusteringImage Clustering	CodeCode Available	1
LSD-C: Linearly Separable Deep Clusters	Jun 17, 2020	ClusteringData Augmentation	CodeCode Available	1
Dissimilarity Mixture Autoencoder for Deep Clustering	Jun 15, 2020	ClusteringDeep Clustering	CodeCode Available	1
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction	Jun 15, 2020	ClusteringContrastive Learning	CodeCode Available	1
Interpretable Visualizations with Differentiating Embedding Networks	Jun 11, 2020	ClusteringImage Clustering	CodeCode Available	0
Unsupervised Transfer Learning with Self-Supervised Remedy	Jun 8, 2020	ClusteringDomain Adaptation	—Unverified	0
Improving k-Means Clustering Performance with Disentangled Internal Representations	Jun 5, 2020	ClusteringDeep Clustering	CodeCode Available	0
SCAN: Learning to Classify Images without Labels	May 25, 2020	ClassificationClustering	CodeCode Available	2
Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy	May 10, 2020	ClusteringFace Reconstruction	—Unverified	0
Variational Clustering: Leveraging Variational Autoencoders for Image Clustering	May 10, 2020	ClusteringImage Clustering	—Unverified	0
Hyperspectral Image Clustering with Spatially-Regularized Ultrametrics	Apr 10, 2020	Clusteringhyperspectral image clustering	CodeCode Available	0
DHOG: Deep Hierarchical Object Grouping	Mar 13, 2020	ClusteringEdge Detection	—Unverified	0
FLIC: Fast Lidar Image Clustering	Mar 1, 2020	Autonomous DrivingClustering	—Unverified	0
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering	Feb 27, 2020	ClusteringImage Clustering	CodeCode Available	1
Tree-SNE: Hierarchical Clustering and Visualization Using t-SNE	Feb 13, 2020	ClusteringImage Clustering	CodeCode Available	1
Leveraging tensor kernels to reduce objective function mismatch in deep clustering	Jan 20, 2020	ClusteringDeep Clustering	CodeCode Available	0
Image Analytics for Legal Document Review: A Transfer Learning Approach	Dec 19, 2019	Clusteringimage-classification	—Unverified	0
Graph-based Multi-view Binary Learning for Image Clustering	Dec 11, 2019	ClusteringGraph Embedding	—Unverified	0
Transformed Subspace Clustering	Dec 10, 2019	BenchmarkingClustering	—Unverified	0
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images	Dec 5, 2019	ClusteringDeep Clustering	CodeCode Available	0
Self-labelling via simultaneous clustering and representation learning	Nov 13, 2019	ClusteringContrastive Learning	CodeCode Available	1
Spatial Sparse subspace clustering for Compressive Spectral imaging	Nov 5, 2019	ClusteringImage Clustering	—Unverified	0
Learning eating environments through scene clustering	Oct 24, 2019	ClusteringImage Clustering	—Unverified	0

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All datasets CIFAR-10 CIFAR-100 STL-10 Imagenet-dog-15 ImageNet-10 MNIST-full USPS Tiny ImageNet Fashion-MNIST ImageNet MNIST-test coil-100

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	TURTLE (CLIP + DINOv2)	Accuracy	1	—	Unverified
2	PRCut (CLIP)	Accuracy	0.98	—	Unverified
3	PRO-DSC	Accuracy	0.97	—	Unverified
4	TEMI CLIP ViT-L (openai)	Accuracy	0.97	—	Unverified
5	DPAC	Accuracy	0.93	—	Unverified
6	SPICE-BPA	Accuracy	0.93	—	Unverified
7	SeCu	Accuracy	0.93	—	Unverified
8	TAC	Accuracy	0.92	—	Unverified
9	SPICE*	Accuracy	0.92	—	Unverified
10	DCN+BRB	Accuracy	0.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TURTLE (CLIP + DINOv2)	Accuracy	0.9	—	Unverified
2	PRCut (DinoV2)	Accuracy	0.79	—	Unverified
3	PRO-DSC	Accuracy	0.77	—	Unverified
4	TEMI CLIP ViT-L (openai)	Accuracy	0.74	—	Unverified
5	TEMI DINO ViT-B	Accuracy	0.67	—	Unverified
6	ITAE	Accuracy	0.65	—	Unverified
7	SPICE*	Accuracy	0.58	—	Unverified
8	HUME	Accuracy	0.56	—	Unverified
9	DPAC	Accuracy	0.56	—	Unverified
10	SPICE-BPA	Accuracy	0.55	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TURTLE (CLIP + DINOv2)	Accuracy	1	—	Unverified
2	TEMI DINO ViT-B	Accuracy	0.99	—	Unverified
3	TAC	Accuracy	0.98	—	Unverified
4	SPICE-BPA	Accuracy	0.94	—	Unverified
5	DPAC	Accuracy	0.93	—	Unverified
6	SPICE*	Accuracy	0.93	—	Unverified
7	HUME	Accuracy	0.91	—	Unverified
8	TCL	Accuracy	0.87	—	Unverified
9	RUC	Accuracy	0.87	—	Unverified
10	IMC-SwAV (Best)	Accuracy	0.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MAE-CT (best)	Accuracy	0.94	—	Unverified
2	MAE-CT (mean)	Accuracy	0.87	—	Unverified
3	PRO-DSC	Accuracy	0.84	—	Unverified
4	ProPos*	Accuracy	0.78	—	Unverified
5	ProPos	Accuracy	0.75	—	Unverified
6	DPAC	Accuracy	0.73	—	Unverified
7	ConCURL	Accuracy	0.7	—	Unverified
8	SPICE	Accuracy	0.68	—	Unverified
9	TCL	Accuracy	0.64	—	Unverified
10	IDFD	Accuracy	0.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TAC	NMI	0.99	—	Unverified
2	SPICE	NMI	0.93	—	Unverified
3	DPAC	NMI	0.93	—	Unverified
4	ProPos*	NMI	0.91	—	Unverified
5	CoHiClust	NMI	0.91	—	Unverified
6	ConCURL	NMI	0.91	—	Unverified
7	C3	NMI	0.91	—	Unverified
8	IDFD	NMI	0.9	—	Unverified
9	ProPos	NMI	0.9	—	Unverified
10	TCL	NMI	0.88	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SPC	NMI	0.98	—	Unverified
2	ADEC	NMI	0.97	—	Unverified
3	DynAE	NMI	0.96	—	Unverified
4	N2D (UMAP)	NMI	0.96	—	Unverified
5	DDC-DA	NMI	0.96	—	Unverified
6	DEN	NMI	0.96	—	Unverified
7	DTI-Clustering	NMI	0.94	—	Unverified
8	EnSC	NMI	0.94	—	Unverified
9	ClusterGAN	NMI	0.94	—	Unverified
10	DBC	NMI	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SPC	NMI	0.95	—	Unverified
2	DynAE	NMI	0.95	—	Unverified
3	DEN	NMI	0.94	—	Unverified
4	DDC-DA	NMI	0.94	—	Unverified
5	SR-K-means	NMI	0.94	—	Unverified
6	ClusterGAN	NMI	0.93	—	Unverified
7	DMSC	NMI	0.93	—	Unverified
8	DDC	NMI	0.92	—	Unverified
9	JULE-RC	NMI	0.91	—	Unverified
10	N2D (UMAP)	NMI	0.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PRO-DSC	Accuracy	0.7	—	Unverified
2	ITAE	Accuracy	0.68	—	Unverified
3	SPICE	Accuracy	0.31	—	Unverified
4	IMC-SwAV (Best)	Accuracy	0.28	—	Unverified
5	IMC-SwAV (Avg+-)	Accuracy	0.28	—	Unverified
6	C3	Accuracy	0.14	—	Unverified
7	CC	Accuracy	0.14	—	Unverified
8	MMDC	Accuracy	0.12	—	Unverified
9	DCCM	Accuracy	0.11	—	Unverified
10	DAC	Accuracy	0.07	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PRCut (DinoV2)	Accuracy	0.79	—	Unverified
2	VMM	Accuracy	0.72	—	Unverified
3	SPC	Accuracy	0.68	—	Unverified
4	N2D (UMAP)	Accuracy	0.67	—	Unverified
5	CoHiClust	Accuracy	0.65	—	Unverified
6	DEN	Accuracy	0.64	—	Unverified
7	PSSC	Accuracy	0.63	—	Unverified
8	GDL	Accuracy	0.63	—	Unverified
9	DDC	Accuracy	0.62	—	Unverified
10	DTI-Clustering	Accuracy	0.61	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TURTLE (CLIP + DINOv2)	Accuracy	72.9	—	Unverified
2	MIM-Refiner (D2V2-ViT-H/14)	Accuracy	67.3	—	Unverified
3	SeLa	NMI	66.4	—	Unverified
4	PRO-DSC	Accuracy	65	—	Unverified
5	MIM-Refiner (MAE-ViT-H/14)	Accuracy	64.6	—	Unverified