Image Classification on POCUS (test)
92.2Overall AccuracyUSUCL
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| USUCLBackbone=ResNet18, Evaluation Protocol=Fine-tuning, Pre-training Dataset=Butterfly2022.07 | 92.2 | 90.2 | 94.6 | 92.6 | |
| USCLBackbone=ResNet18, Evaluation Protocol=Fine-tuning, Pre-training Dataset=Butterfly2022.07 | 91.4 | 91.6 | 94 | 90.6 | |
| Pretrained on ImageNetBackbone=ResNet18, Evaluation Protocol=Fine-tuning, Pre-training Dataset=ImageNet2022.07 | 87.4 | 79.7 | 87.4 | 91.9 |