In this repo, I perform dataset condensation via distrbution matching (https://github.com/VICO-UoE/DatasetCondensation), without differentiable siamese augmentation, on MRI classification dataset (https://www.kaggle.com/datasets/sartajbhuvaji/brain-tumor-classification-mri)
Running Time (seconds) | Accuracy over Real Training | Accuracy over Real Testing | Condensed Images per Class |
---|---|---|---|
676.7407 | 43.0662 | 29.9492 | 10 |
Running Time (seconds) | Accuracy over Real Training | Accuracy over Real Testing | Condensed Images per Class |
---|---|---|---|
649.1408 | 25.1282 | 20.3046 | 10 |
Running Time (seconds) | Accuracy over Real Training | Accuracy over Real Testing | Condensed Images per Class |
---|---|---|---|
311.9385 | 52.5 | 27.4112 | 2 |