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SotA/Methodology/Classification/MHIST

Classification on MHIST

Metric: Accuracy (higher is better)

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Results

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#Model↕Accuracy▼AugmentationsPaperDate↕Code
1MoCo-v2 (ResNet-50)88.03Yes--Code
2MoCo-v2 (ResNet-50)85.88YesBenchmarking Self-Supervised Learning on Diverse...2022-12-09Code
3Barlow Twins (ResNet-50)84.03Yes--Code
4SwAV (ResNet-50)83.21Yes--Code
5Supervised (ViT-S/16)81.68YesBenchmarking Self-Supervised Learning on Diverse...2022-12-09Code
6Barlow Rwins (ResNet-50)81.27YesBenchmarking Self-Supervised Learning on Diverse...2022-12-09Code
7DINO (ViT-S/16)79.43YesBenchmarking Self-Supervised Learning on Diverse...2022-12-09Code
8Supervised (ResNet-50)78.92YesBenchmarking Self-Supervised Learning on Diverse...2022-12-09Code
9SwAV (ResNet-50)77.99YesBenchmarking Self-Supervised Learning on Diverse...2022-12-09Code