Medical Image Classification on Covid (test)
97.4AccuracyFull fine-tuning
Evaluation Results
| Method | Links | |
|---|---|---|
| Full fine-tuningBackbone=Swin-L, #Trainable Parameters=195M2025.06 | 97.4 | |
| LKABackbone=Swin-L, #Trainable Parameters=0.652M2025.06 | 97.4 | |
| ConvpassBackbone=Swin-L, #Trainable Parameters=0.661M2025.06 | 95.5 | |
| CIATBackbone=Swin-L, #Trainable Parameters=0.966M2025.06 | 95.2 | |
| LOSSLESS ADAPTATIONBackbone=Swin-L, #Trainable Parameters=0.320M2025.06 | 94.8 | |
| BitfitBackbone=Swin-L, #Trainable Parameters=0.313M2025.06 | 94.6 | |
| AdapterformerBackbone=Swin-L, #Trainable Parameters=0.320M2025.06 | 94.5 | |
| RepAdapterBackbone=Swin-L, #Trainable Parameters=0.486M2025.06 | 94.4 | |
| LORABackbone=Swin-L, #Trainable Parameters=0.578M2025.06 | 94.3 | |
| AdapterBackbone=Swin-L, #Trainable Parameters=0.633M2025.06 | 93.7 | |
| AIMBackbone=Swin-L, #Trainable Parameters=0.947M2025.06 | 93.7 | |
| Linear probingBackbone=Swin-L, #Trainable Parameters=0.006M2025.06 | 93.4 | |
| VPTBackbone=Swin-L, #Trainable Parameters=1.052M2025.06 | 92.6 | |
| Real DatasetBackbone=5-layer ConvNet2025.09 | 91.49 | |
| HoP-TMIPC=50, Backbone=5-layer ConvNet2025.09 | 87.71 | |
| ATTIPC=50, Backbone=5-layer ConvNet2025.09 | 87.62 | |
| DATMIPC=50, Backbone=5-layer ConvNet2025.09 | 87.38 | |
| FTDIPC=50, Backbone=5-layer ConvNet2025.09 | 86.96 | |
| MTTIPC=50, Backbone=5-layer ConvNet2025.09 | 86.11 | |
| HoP-TMIPC=10, Backbone=5-layer ConvNet2025.09 | 84.42 | |
| FTDIPC=10, Backbone=5-layer ConvNet2025.09 | 84.09 | |
| ST-AdapterBackbone=Swin-L, #Trainable Parameters=0.334M2025.06 | 83.3 | |
| MTTIPC=10, Backbone=5-layer ConvNet2025.09 | 83.3 | |
| DATMIPC=10, Backbone=5-layer ConvNet2025.09 | 82.11 | |
| HoP-TMIPC=5, Backbone=5-layer ConvNet2025.09 | 80.81 | |
| DATMIPC=5, Backbone=5-layer ConvNet2025.09 | 79.59 | |
| IDMIPC=50, Backbone=5-layer ConvNet2025.09 | 79.28 | |
| DMIPC=50, Backbone=5-layer ConvNet2025.09 | 79.1 | |
| ATTIPC=10, Backbone=5-layer ConvNet2025.09 | 75.12 | |
| MTTIPC=5, Backbone=5-layer ConvNet2025.09 | 74.94 | |
| FTDIPC=5, Backbone=5-layer ConvNet2025.09 | 74.14 | |
| ATTIPC=5, Backbone=5-layer ConvNet2025.09 | 73.8 | |
| IDMIPC=10, Backbone=5-layer ConvNet2025.09 | 72.77 | |
| DMIPC=10, Backbone=5-layer ConvNet2025.09 | 72.68 | |
| HoP-TMIPC=1, Backbone=5-layer ConvNet2025.09 | 69.71 | |
| IDMIPC=5, Backbone=5-layer ConvNet2025.09 | 68.51 | |
| DATMIPC=1, Backbone=5-layer ConvNet2025.09 | 68.46 | |
| ATTIPC=1, Backbone=5-layer ConvNet2025.09 | 67.83 | |
| IDMIPC=1, Backbone=5-layer ConvNet2025.09 | 67.78 | |
| DMIPC=5, Backbone=5-layer ConvNet2025.09 | 65.13 | |
| FTDIPC=1, Backbone=5-layer ConvNet2025.09 | 60.55 | |
| MTTIPC=1, Backbone=5-layer ConvNet2025.09 | 56.98 | |
| DMIPC=1, Backbone=5-layer ConvNet2025.09 | 50.85 |