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SotA/Computer Vision/Image Clustering/Imagenet-dog-15

Image Clustering on Imagenet-dog-15

Metric: ARI (higher is better)

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#Model↕ARI▼Extra DataPaperDate↕Code
1MAE-CT (best)0.879YesContrastive Tuning: A Little Help to Make Masked...2023-04-20Code
2MAE-CT (mean)0.821YesContrastive Tuning: A Little Help to Make Masked...2023-04-20Code
3ProPos*0.675NoLearning Representation for Clustering via Proto...2021-11-23Code
4ProPos0.627NoLearning Representation for Clustering via Proto...2021-11-23Code
5DPAC0.598NoDeep Online Probability Aggregation Clustering2024-07-07Code
6ConCURL0.531NoRepresentation Learning for Clustering via Build...2021-05-04Code
7SPICE0.526NoSPICE: Semantic Pseudo-labeling for Image Cluste...2021-03-17Code
8TCL0.516NoTwin Contrastive Learning for Online Clustering2022-10-21Code
9IDFD0.413NoClustering-friendly Representation Learning via ...2021-05-31Code
10MiCE0.286NoMiCE: Mixture of Contrastive Experts for Unsuper...2021-05-05Code
11C30.28NoC3: Cross-instance guided Contrastive Clustering2022-11-14Code
12CC0.274NoContrastive Clustering2020-09-21Code
13CoHiClust0.232NoContrastive Hierarchical Clustering2023-03-03Code