Linear Classification on RSNA (test)
90.8AUCMGCA
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MGCABackbone=ViT-B/16, Venue=NIPS’22, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 90.8 | — | — | — | |
| MLIPBackbone=ViT-B/16, Venue=CVPR’24, incorporate auxiliary knowledge=true, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 90.8 | — | — | — | |
| MLIPBackbone=RN-50, Venue=CVPR’24, incorporate auxiliary knowledge=true, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 90.6 | — | — | — | |
| SISTABackbone=RN-50, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 90.6 | — | — | — | |
| SISTABackbone=ViT-B/16, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 90.6 | — | — | — | |
| M-FLAGBackbone=RN-50, Venue=MICCAI’23, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 90.5 | — | — | — | |
| GLoRIABackbone=RN-50, Venue=ICCV’21, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 90.2 | — | — | — | |
| MLIPBackbone=ViT-B/16, Venue=CVPR’24, incorporate auxiliary knowledge=true, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 90 | — | — | — | |
| MGCABackbone=RN-50, Venue=NIPS’22, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 89.9 | — | — | — | |
| MGCABackbone=ViT-B/16, Venue=NIPS’22, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 89.9 | — | — | — | |
| SISTABackbone=ViT-B/16, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 89.9 | — | — | — | |
| MLIPBackbone=RN-50, Venue=CVPR’24, incorporate auxiliary knowledge=true, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 89.6 | — | — | — | |
| SISTABackbone=RN-50, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 89.6 | — | — | — | |
| GLoRIABackbone=RN-50, Venue=ICCV’21, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 89.4 | — | — | — | |
| M-FLAGBackbone=RN-50, Venue=MICCAI’23, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 89.4 | — | — | — | |
| MedKLIPBackbone=RN-50, Venue=ICCV’23, incorporate instance-level labels=true, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 89.3 | — | — | — | |
| MLIPBackbone=ViT-B/16, Venue=CVPR’24, incorporate auxiliary knowledge=true, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 89.3 | — | — | — | |
| SISTABackbone=ViT-B/16, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 89.3 | — | — | — | |
| PRIORBackbone=RN-50, Venue=ICCV’23, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 89.2 | — | — | — | |
| MGCABackbone=RN-50, Venue=NIPS’22, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 89.1 | — | — | — | |
| MGCABackbone=ViT-B/16, Venue=NIPS’22, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 89.1 | — | — | — | |
| SISTABackbone=RN-50, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 88.9 | — | — | — | |
| M-FLAGBackbone=RN-50, Venue=MICCAI’23, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 88.8 | — | — | — | |
| MLIPBackbone=RN-50, Venue=CVPR’24, incorporate auxiliary knowledge=true, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 88.8 | — | — | — | |
| MGCABackbone=RN-50, Venue=NIPS’22, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 88.6 | — | — | — | |
| MedKLIPBackbone=RN-50, Venue=ICCV’23, incorporate instance-level labels=true, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 88 | — | — | — | |
| MedKLIPBackbone=RN-50, Venue=ICCV’23, incorporate instance-level labels=true, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 87.3 | — | — | — | |
| PRIORBackbone=RN-50, Venue=ICCV’23, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 87.1 | — | — | — | |
| GLoRIABackbone=RN-50, Venue=ICCV’21, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 87 | — | — | — | |
| PRIORBackbone=RN-50, Venue=ICCV’23, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 85.7 | — | — | — | |
| ConVIRTBackbone=RN-50, Venue=PMLR’22, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 81.3 | — | — | — | |
| ConVIRTBackbone=RN-50, Venue=PMLR’22, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 80.1 | — | — | — | |
| ConVIRTBackbone=RN-50, Venue=PMLR’22, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 77.4 | — | — | — | |
| ImageNetTraining data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 76.3 | — | — | — | |
| ImageNetTraining data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 74.9 | — | — | — | |
| ImageNetTraining data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 74.5 | — | — | — | |
| RandomTraining data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 74.1 | — | — | — | |
| RandomTraining data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 69.4 | — | — | — | |
| RandomTraining data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 58.9 | — | — | — | |
| ConVIRTPre-training=MIMIC-CXR2022.10 | — | 77.4 | 80.1 | 81.3 | |
| DSVEPre-training=CheXpert2022.10 | — | 49.7 | 52.1 | 57.8 | |
| GLoRIAPre-training=CheXpert2022.10 | — | 86.1 | 88 | 88.6 | |
| GLoRIA-MIMICPre-training=MIMIC-CXR2022.10 | — | 87 | 89.4 | 90.2 | |
| ImageNet InitPre-training=ImageNet2022.10 | — | 74.9 | 74.5 | 76.3 | |
| MGCAPre-training=MIMIC-CXR, Backbone=ResNet-502022.10 | — | 88.6 | 89.1 | 89.9 | |
| MGCAPre-training=MIMIC-CXR, Backbone=ViT-B/162022.10 | — | 89.1 | 89.9 | 90.8 | |
| Random InitPre-training=None2022.10 | — | 58.9 | 69.4 | 74.1 | |
| VSE++Pre-training=CheXpert2022.10 | — | 49.4 | 57.2 | 67.9 |