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SotA/Computer Vision/Image Clustering/ImageNet-10

Image Clustering on ImageNet-10

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1TAC0.992NoImage Clustering with External Guidance2023-10-18Code
2DPAC0.97NoDeep Online Probability Aggregation Clustering2024-07-07Code
3SPICE0.969NoSPICE: Semantic Pseudo-labeling for Image Cluste...2021-03-17Code
4ProPos*0.962NoLearning Representation for Clustering via Proto...2021-11-23Code
5ConCURL0.958NoRepresentation Learning for Clustering via Build...2021-05-04Code
6ProPos0.956NoLearning Representation for Clustering via Proto...2021-11-23Code
7IDFD0.954NoClustering-friendly Representation Learning via ...2021-05-31Code
8CoHiClust0.953NoContrastive Hierarchical Clustering2023-03-03Code
9C30.942NoC3: Cross-instance guided Contrastive Clustering2022-11-14Code
10TCL0.895NoTwin Contrastive Learning for Online Clustering2022-10-21Code
11CC0.893NoContrastive Clustering2020-09-21Code
12MMDC0.811NoMulti-Modal Deep Clustering: Unsupervised Partit...2019-12-05Code
13DCCM0.71NoDeep Comprehensive Correlation Mining for Image ...2019-04-15Code
14DAC0.527No--Code
15DEC0.381NoUnsupervised Deep Embedding for Clustering Analy...2015-11-19Code
16GAN0.346NoUnsupervised Representation Learning with Deep C...2015-11-19Code
17VAE0.334NoAuto-Encoding Variational Bayes2013-12-20Code
18JULE0.3NoJoint Unsupervised Learning of Deep Representati...2016-04-13Code