Medical Object Detection on RSNA Pneumonia (stage 2)
25.8mAPMLIP
Evaluation Results
| Method | Links | |
|---|---|---|
| MLIPtraining_data=100%, backbone=ResNet-50, detector=YOLOv32024.02 | 25.8 | |
| MGCA (ResNet-50)training_data=100%, backbone=ResNet-50, detector=YOLOv32024.02 | 24.9 | |
| GLoRIA-MIMICtraining_data=100%, backbone=ResNet-50, detector=YOLOv32024.02 | 23.1 | |
| MLIPtraining_data=10%, backbone=ResNet-50, detector=YOLOv32024.02 | 19.1 | |
| GLoRIA-CheXperttraining_data=100%, backbone=ResNet-50, detector=YOLOv32024.02 | 18.8 | |
| ConVIRTtraining_data=100%, backbone=ResNet-50, detector=YOLOv32024.02 | 17.9 | |
| MLIPtraining_data=1%, backbone=ResNet-50, detector=YOLOv32024.02 | 17.2 | |
| MGCA (ResNet-50)training_data=10%, backbone=ResNet-50, detector=YOLOv32024.02 | 16.8 | |
| ImageNet Inittraining_data=100%, backbone=ResNet-50, detector=YOLOv32024.02 | 15.7 | |
| ConVIRTtraining_data=10%, backbone=ResNet-50, detector=YOLOv32024.02 | 15.6 | |
| GLoRIA-MIMICtraining_data=10%, backbone=ResNet-50, detector=YOLOv32024.02 | 15.6 | |
| GLoRIA-CheXperttraining_data=10%, backbone=ResNet-50, detector=YOLOv32024.02 | 14.8 | |
| MGCA (ResNet-50)training_data=1%, backbone=ResNet-50, detector=YOLOv32024.02 | 12.9 | |
| MLIPtraining_data=Zero-shot, backbone=ResNet-50, detector=YOLOv32024.02 | 12.3 | |
| GLoRIA-MIMICtraining_data=1%, backbone=ResNet-50, detector=YOLOv32024.02 | 10.3 | |
| GLoRIA-CheXperttraining_data=1%, backbone=ResNet-50, detector=YOLOv32024.02 | 9.8 | |
| Random Inittraining_data=100%, backbone=ResNet-50, detector=YOLOv32024.02 | 8.9 | |
| ConVIRTtraining_data=1%, backbone=ResNet-50, detector=YOLOv32024.02 | 8.2 | |
| ImageNet Inittraining_data=10%, backbone=ResNet-50, detector=YOLOv32024.02 | 8 | |
| MGCA (ResNet-50)training_data=Zero-shot, backbone=ResNet-50, detector=YOLOv32024.02 | 7.8 | |
| GLoRIA-MIMICtraining_data=Zero-shot, backbone=ResNet-50, detector=YOLOv32024.02 | 6.2 | |
| GLoRIA-CheXperttraining_data=Zero-shot, backbone=ResNet-50, detector=YOLOv32024.02 | 4.4 | |
| Random Inittraining_data=10%, backbone=ResNet-50, detector=YOLOv32024.02 | 4 | |
| ConVIRTtraining_data=Zero-shot, backbone=ResNet-50, detector=YOLOv32024.02 | 3.7 | |
| ImageNet Inittraining_data=1%, backbone=ResNet-50, detector=YOLOv32024.02 | 3.6 | |
| Random Inittraining_data=1%, backbone=ResNet-50, detector=YOLOv32024.02 | 1 |