Medical Image Classification on PadChest
44.08mAPTRCGL-Net
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TRCGL-Net2026.07 | 44.08 | 89.89 | 43.69 | |
| ConvNeXt + CSRABackbone=ConvNeXt, Strategy=CSRA2026.07 | 36.71 | 85.81 | 32.27 | |
| ConvNeXt2026.07 | 33.23 | 87.2 | 21.66 | |
| ConvNeXt + LDAMBackbone=ConvNeXt, Strategy=LDAM2026.07 | 29.62 | 84.64 | 27.52 | |
| CLIP2026.07 | 25.25 | 82.91 | 5.01 | |
| ResNet2026.07 | 20.92 | 83.71 | 9.91 | |
| ViT2026.07 | 19.01 | 77.78 | 3.76 | |
| EfficientNet2026.07 | 18.07 | 77.17 | 3.22 |