Image Classification on Flowers102 38 (test)
75.15AccuracyF-SAM
Evaluation results
| Method | Links | |
|---|---|---|
| F-SAMBackbone=DeiT-small, Pre-training=ImageNet, Evaluation Protocol=Fine-tuning, Epochs=10, Batch size=128, rho=0.0752024.03 | 75.15 | |
| AdamWBackbone=DeiT-small, Pre-training=ImageNet, Evaluation Protocol=Fine-tuning, Epochs=10, Batch size=1282024.03 | 74.82 | |
| SAMBackbone=DeiT-small, Pre-training=ImageNet, Evaluation Protocol=Fine-tuning, Epochs=10, Batch size=128, rho=0.0752024.03 | 74.38 |