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SotA/Computer Vision/Image Classification/STL-10

Image Classification on STL-10

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1TURTLE (CLIP + DINOv2)99.7NoLet Go of Your Labels with Unsupervised Transfer2024-06-11Code
2Pre trained wide-resnet-10198.18NoProgressiveSpinalNet architecture for FC layers2021-03-21Code
3EnAET95.48NoEnAET: A Self-Trained framework for Semi-Supervi...2019-11-21Code
4HUME90.8No---
5MV-MR89.67NoMV-MR: multi-views and multi-representations for...2023-03-21Code
6IIC88.8NoInvariant Information Clustering for Unsupervise...2018-07-17Code
7CutOut87.26NoImproved Regularization of Convolutional Neural ...2017-08-15Code
8RUC86.7NoImproving Unsupervised Image Clustering With Rob...2020-12-21Code
9ScatSimCLR85.11NoScatSimCLR: self-supervised contrastive learning...2021-08-31Code
10SCAN80.9NoSCAN: Learning to Classify Images without Labels2020-05-25Code
11TSUC66.5No--Code
12IIC61YesInvariant Information Clustering for Unsupervise...2018-07-17Code