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SotA/Computer Vision/Image Clustering/MNIST-full

Image Clustering on MNIST-full

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1SPC0.992NoSelective Pseudo-label Clustering2021-07-22Code
2ADEC0.99NoAdversarial Deep Embedded Clustering: on a bette...2019-09-26-
3N2D (UMAP)0.987NoN2D: (Not Too) Deep Clustering via Clustering th...2019-08-16Code
4DynAE0.987NoDeep Clustering with a Dynamic Autoencoder: From...2019-01-23Code
5DDC-DA0.986NoDeep Density-based Image Clustering2018-12-11Code
6DEN0.984NoInterpretable Visualizations with Differentiatin...2020-06-11Code
7DTI-Clustering0.979NoDeep Transformation-Invariant Clustering2020-06-19Code
8DBC0.976NoDiscriminatively Boosted Image Clustering with F...2017-03-23Code
9ClusterGAN0.973No---
10EnSC0.969NoOracle Based Active Set Algorithm for Scalable E...2016-05-09Code
11VMM0.967NoThe VampPrior Mixture Model2024-02-06Code
12GDL0.965NoGraph Degree Linkage: Agglomerative Clustering o...2012-08-25Code
13PSSC0.964NoScattering Transform Based Image Clustering usin...2020-11-23Code
14JULE-RC0.964NoJoint Unsupervised Learning of Deep Representati...2016-04-13Code