Image Classification on CRC-VAL-HE-7K (test)
96.27Val AccResNet-50
Evaluation results
| Method | Links | |
|---|---|---|
| ResNet-50Training Data=Real + synthetic, Backbone=ResNet-50, Pre-training=ImageNet, Data Source=Augmented with Paper's Diffusion Model2023.12 | 96.27 | |
| SOTATraining Data=SOTA method, Architecture=Ensemble of deep models2023.12 | 96.26 | |
| ResNet-50Training Data=Real, Backbone=ResNet-50, Pre-training=ImageNet2023.12 | 93.8 | |
| ResNet-50Training Data=Synthetic, Backbone=ResNet-50, Pre-training=ImageNet, Data Source=Paper's Diffusion Model2023.12 | 90.19 |