Classification on CheXpert
0.8759AUCDiRAMoCo-v2
Evaluation Results
| Method | Links | |
|---|---|---|
| DiRAMoCo-v2Pretraining Dataset=ChestX-ray14, Backbone=ResNet-50, Evaluation Protocol=Fine-tuning2022.04 | 0.8759 | |
| DiRABarlow TwinsPretraining Dataset=ChestX-ray14, Backbone=ResNet-50, Evaluation Protocol=Fine-tuning2022.04 | 0.875 | |
| SupervisedPretraining Dataset=ChestX-ray14, Backbone=ResNet-50, Evaluation Protocol=Fine-tuning2022.04 | 0.874 | |
| SupervisedPretraining Dataset=ImageNet, Backbone=ResNet-50, Evaluation Protocol=Fine-tuning2022.04 | 0.8717 | |
| RandomPretraining Dataset=None, Backbone=ResNet-50, Evaluation Protocol=Fine-tuning2022.04 | 0.8662 | |
| KoBo-VitEvaluation Protocol=Few-shot-Frozen, Backbone=ViT, Training data=1%2023.07 | 0.866 | |
| GoGModel=DeiT-B2024.03 | 0.8644 | |
| KoBoEvaluation Protocol=Few-shot-Frozen, Backbone=ResNet-50, Training data=1%2023.07 | 0.8628 | |
| FGG(best)Model=DeiT-B2024.03 | 0.8619 | |
| MGCAEvaluation Protocol=Few-shot-Frozen, Backbone=ResNet-50, Weights=Reproduced, Training data=1%2023.07 | 0.8616 | |
| DiRAsimSiamPretraining Dataset=ChestX-ray14, Backbone=ResNet-50, Evaluation Protocol=Fine-tuning2022.04 | 0.8604 | |
| ConVIRTEvaluation Protocol=Few-shot-Frozen, Backbone=ResNet-50, Weights=Reproduced, Training data=1%2023.07 | 0.8548 | |
| GloriaEvaluation Protocol=Few-shot-Frozen, Backbone=ResNet-50, Weights=Reproduced, Training data=1%2023.07 | 0.8492 | |
| GoGModel=ResNet502024.03 | 0.8488 | |
| GS(best)Model=ResNet502024.03 | 0.8444 | |
| Greedy SoupModel=ResNet502024.03 | 0.8444 | |
| FGG(best)Model=ResNet502024.03 | 0.8434 | |
| GoUModel=ResNet502024.03 | 0.8351 | |
| MedCLIPEvaluation Protocol=Few-shot-Frozen, Backbone=ResNet-50, Weights=Official, Training data=1%2023.07 | 0.8214 | |
| GS(best)Model=DeiT-B2024.03 | 0.8143 | |
| Greedy SoupModel=DeiT-B2024.03 | 0.8068 | |
| GoUModel=DeiT-B2024.03 | 0.7609 | |
| Uniform SoupModel=DeiT-B2024.03 | 0.7177 | |
| Uniform SoupModel=ResNet502024.03 | 0.5752 | |
| CLIPEvaluation Protocol=Few-shot-Frozen, Backbone=ResNet-50, Weights=Official, Training data=1%2023.07 | 0.5748 |