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SotA/Computer Vision/Image Clustering/Fashion-MNIST

Image Clustering on Fashion-MNIST

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1PRCut (DinoV2)0.791No--Code
2VMM0.716NoThe VampPrior Mixture Model2024-02-06Code
3SPC0.679NoSelective Pseudo-label Clustering2021-07-22Code
4N2D (UMAP)0.672NoN2D: (Not Too) Deep Clustering via Clustering th...2019-08-16Code
5CoHiClust0.65NoContrastive Hierarchical Clustering2023-03-03Code
6DEN0.635NoInterpretable Visualizations with Differentiatin...2020-06-11Code
7PSSC0.628NoScattering Transform Based Image Clustering usin...2020-11-23Code
8GDL0.627NoGraph Degree Linkage: Agglomerative Clustering o...2012-08-25Code
9DDC0.619NoDeep Density-based Image Clustering2018-12-11Code
10DTI-Clustering0.612NoDeep Transformation-Invariant Clustering2020-06-19Code
11DDC-DA0.609NoDeep Density-based Image Clustering2018-12-11Code
12DynAE0.591NoDeep Clustering with a Dynamic Autoencoder: From...2019-01-23Code
13SNNL-40.555NoImproving k-Means Clustering Performance with Di...2020-06-05Code