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SotA/Methodology/Classification/NCT-CRC-HE-100K

Classification on NCT-CRC-HE-100K

Metric: Accuracy (%) (higher is better)

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#Model↕Accuracy (%)▼AugmentationsPaperDate↕Code
1Efficientnet-b095.59NoEfficientNet: Rethinking Model Scaling for Convo...2019-05-28Code
2ResNeXt-50-32x4d95.46NoResNet strikes back: An improved training proced...2021-10-01Code
3RegNetY-3.2GF95.42NoRegNet: Self-Regulated Network for Image Classif...2021-01-03Code
4ResNet-5094.72NoDeep Residual Learning for Image Recognition2015-12-10Code
5DenseNet-16994.41NoDensely Connected Convolutional Networks2016-08-25Code
6Res2Net-5093.37NoRes2Net: A New Multi-scale Backbone Architecture2019-04-02Code
7ResNet-1892.66NoDeep Residual Learning for Image Recognition2015-12-10Code