Linear Classification on CheXpert (test)
0.9AUCMLIP
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MLIPBackbone=ViT-B/16, Venue=CVPR’24, incorporate auxiliary knowledge=true, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 0.9 | — | — | — | |
| SISTABackbone=ViT-B/16, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 0.9 | — | — | — | |
| MGCABackbone=ViT-B/16, Venue=NIPS’22, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 0.897 | — | — | — | |
| MLIPBackbone=ViT-B/16, Venue=CVPR’24, incorporate auxiliary knowledge=true, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 0.894 | — | — | — | |
| SISTABackbone=ViT-B/16, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 0.892 | — | — | — | |
| MGCABackbone=ViT-B/16, Venue=NIPS’22, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 0.891 | — | — | — | |
| MLIPBackbone=ViT-B/16, Venue=CVPR’24, incorporate auxiliary knowledge=true, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 0.89 | — | — | — | |
| MLIPBackbone=RN-50, Venue=CVPR’24, incorporate auxiliary knowledge=true, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 0.889 | — | — | — | |
| MGCABackbone=ViT-B/16, Venue=NIPS’22, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 0.888 | — | — | — | |
| MLIPBackbone=RN-50, Venue=CVPR’24, incorporate auxiliary knowledge=true, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 0.887 | — | — | — | |
| SISTABackbone=RN-50, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 0.887 | — | — | — | |
| SISTABackbone=ViT-B/16, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 0.887 | — | — | — | |
| M-FLAGBackbone=RN-50, Venue=MICCAI’23, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 0.886 | — | — | — | |
| PRIORBackbone=RN-50, Venue=ICCV’23, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 0.886 | — | — | — | |
| SISTABackbone=RN-50, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 0.886 | — | — | — | |
| M-FLAGBackbone=RN-50, Venue=MICCAI’23, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 0.884 | — | — | — | |
| PRIORBackbone=RN-50, Venue=ICCV’23, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 0.883 | — | — | — | |
| GLoRIABackbone=RN-50, Venue=ICCV’21, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 0.882 | — | — | — | |
| MGCABackbone=RN-50, Venue=NIPS’22, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 0.882 | — | — | — | |
| SISTABackbone=RN-50, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 0.881 | — | — | — | |
| GLoRIABackbone=RN-50, Venue=ICCV’21, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 0.88 | — | — | — | |
| MGCABackbone=RN-50, Venue=NIPS’22, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 0.88 | — | — | — | |
| M-FLAGBackbone=RN-50, Venue=MICCAI’23, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 0.878 | — | — | — | |
| MLIPBackbone=RN-50, Venue=CVPR’24, incorporate auxiliary knowledge=true, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 0.878 | — | — | — | |
| MedKLIPBackbone=RN-50, Venue=ICCV’23, incorporate instance-level labels=true, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 0.877 | — | — | — | |
| MGCABackbone=RN-50, Venue=NIPS’22, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 0.876 | — | — | — | |
| ConVIRTBackbone=RN-50, Venue=PMLR’22, Training data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 0.873 | — | — | — | |
| GLoRIABackbone=RN-50, Venue=ICCV’21, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 0.871 | — | — | — | |
| ConVIRTBackbone=RN-50, Venue=PMLR’22, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 0.868 | — | — | — | |
| MedKLIPBackbone=RN-50, Venue=ICCV’23, incorporate instance-level labels=true, Training data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 0.865 | — | — | — | |
| PRIORBackbone=RN-50, Venue=ICCV’23, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 0.862 | — | — | — | |
| MedKLIPBackbone=RN-50, Venue=ICCV’23, incorporate instance-level labels=true, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 0.862 | — | — | — | |
| ConVIRTBackbone=RN-50, Venue=PMLR’22, Training data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 0.859 | — | — | — | |
| ImageNetTraining data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 0.814 | — | — | — | |
| ImageNetTraining data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 0.797 | — | — | — | |
| ImageNetTraining data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 0.744 | — | — | — | |
| RandomTraining data percentage=100%, Evaluation protocol=Fine-tuning2026.01 | 0.657 | — | — | — | |
| RandomTraining data percentage=10%, Evaluation protocol=Fine-tuning2026.01 | 0.626 | — | — | — | |
| RandomTraining data percentage=1%, Evaluation protocol=Fine-tuning2026.01 | 0.561 | — | — | — |