Image Classification on BloodM (accuracy)
98.19AccuracyTeacher
Evaluation results
| Method | Links | |
|---|---|---|
| TeacherBackbone=ResNet182026.04 | 98.19 | |
| DIP-KDBackbone=ResNet18, Synthetic Dataset Size=50K2026.04 | 73.98 | |
| DFHL-RSBackbone=ResNet18, Synthetic Dataset Size=50K2026.04 | 61.67 | |
| IDEALBackbone=ResNet18, Synthetic Dataset Size=50K2026.04 | 55.28 | |
| ZSDB3Backbone=ResNet18, Synthetic Dataset Size=50K2026.04 | 39.62 | |
| NaiveKDBackbone=ResNet18, Synthetic Dataset Size=50K2026.04 | 9.09 |