2D Classification on NIH ChestX-ray (test)
0.856AUCCDSSL-P3D
Evaluation Results
| Method | Links | |
|---|---|---|
| CDSSL-P3DBackbone=PVT-small, Training data ratio=100%2024.06 | 0.856 | |
| UniMiSSBackbone=PVT-small, Training data ratio=100%2024.06 | 0.84 | |
| CDSSL-P3DBackbone=PVT-small, Training data ratio=50%2024.06 | 0.84 | |
| CDSSL-P3DBackbone=ResNet-18 3D, Training data ratio=100%2024.06 | 0.838 | |
| PCRLv2Backbone=ResNet-18 2D, Training data ratio=100%2024.06 | 0.828 | |
| CDSSL-P3DBackbone=ResNet-18 3D, Training data ratio=50%2024.06 | 0.827 | |
| CDSSL-P3DBackbone=PVT-small, Training data ratio=30%2024.06 | 0.823 | |
| UniMiSSBackbone=PVT-small, Training data ratio=50%2024.06 | 0.82 | |
| SimSiamBackbone=ResNet-18 2D, Training data ratio=100%2024.06 | 0.819 | |
| PCRLv2Backbone=ResNet-18 2D, Training data ratio=50%2024.06 | 0.819 | |
| DINOBackbone=ResNet-18 2D, Training data ratio=100%2024.06 | 0.818 | |
| CDSSL-P3DBackbone=ResNet-18 3D, Training data ratio=30%2024.06 | 0.818 | |
| TransVWBackbone=ResNet-18 2D, Training data ratio=100%2024.06 | 0.816 | |
| Rand. init.Backbone=PVT-small, Training data ratio=100%2024.06 | 0.816 | |
| PCRLv2Backbone=ResNet-18 2D, Training data ratio=30%2024.06 | 0.809 | |
| UniMiSSBackbone=PVT-small, Training data ratio=30%2024.06 | 0.809 | |
| Rand. init.Backbone=ResNet-18 2D, Training data ratio=100%2024.06 | 0.808 | |
| Rand. init.Backbone=ResNet-18 3D, Training data ratio=100%2024.06 | 0.805 | |
| DINOBackbone=ResNet-18 2D, Training data ratio=30%2024.06 | 0.79 | |
| SimSiamBackbone=ResNet-18 2D, Training data ratio=50%2024.06 | 0.789 | |
| CDSSL-P3DBackbone=PVT-small, Training data ratio=10%2024.06 | 0.789 | |
| TransVWBackbone=ResNet-18 2D, Training data ratio=50%2024.06 | 0.788 | |
| DINOBackbone=ResNet-18 2D, Training data ratio=50%2024.06 | 0.787 | |
| SimSiamBackbone=ResNet-18 2D, Training data ratio=30%2024.06 | 0.785 | |
| Rand. init.Backbone=PVT-small, Training data ratio=50%2024.06 | 0.782 | |
| CDSSL-P3DBackbone=ResNet-18 3D, Training data ratio=10%2024.06 | 0.778 | |
| Rand. init.Backbone=ResNet-18 2D, Training data ratio=50%2024.06 | 0.774 | |
| Rand. init.Backbone=ResNet-18 3D, Training data ratio=50%2024.06 | 0.772 | |
| UniMiSSBackbone=PVT-small, Training data ratio=10%2024.06 | 0.771 | |
| PCRLv2Backbone=ResNet-18 2D, Training data ratio=10%2024.06 | 0.77 | |
| Rand. init.Backbone=PVT-small, Training data ratio=30%2024.06 | 0.764 | |
| TransVWBackbone=ResNet-18 2D, Training data ratio=30%2024.06 | 0.753 | |
| Rand. init.Backbone=ResNet-18 3D, Training data ratio=30%2024.06 | 0.745 | |
| Rand. init.Backbone=ResNet-18 2D, Training data ratio=30%2024.06 | 0.735 | |
| SimSiamBackbone=ResNet-18 2D, Training data ratio=10%2024.06 | 0.728 | |
| DINOBackbone=ResNet-18 2D, Training data ratio=10%2024.06 | 0.723 | |
| TransVWBackbone=ResNet-18 2D, Training data ratio=10%2024.06 | 0.715 | |
| Rand. init.Backbone=PVT-small, Training data ratio=10%2024.06 | 0.712 | |
| Rand. init.Backbone=ResNet-18 3D, Training data ratio=10%2024.06 | 0.703 | |
| Rand. init.Backbone=ResNet-18 2D, Training data ratio=10%2024.06 | 0.695 |