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ResearchFormerly WizWand

Medical Image Classification on Brain (test)

96.8AccuracyLKA
81.61685.55889.593.442Jun 23, 2025
Updated 8mo ago

Evaluation results

MethodLinks
LKABackbone=Swin-L, #Trainable Parameters=0.652M2025.0696.8
Full fine-tuningBackbone=Swin-L, #Trainable Parameters=195M2025.0696.7
LOSSLESS ADAPTATIONBackbone=Swin-L, #Trainable Parameters=0.320M2025.0695.2
RepAdapterBackbone=Swin-L, #Trainable Parameters=0.486M2025.0695.2
LORABackbone=Swin-L, #Trainable Parameters=0.578M2025.0695.2
CIATBackbone=Swin-L, #Trainable Parameters=0.966M2025.0695.2
AdapterformerBackbone=Swin-L, #Trainable Parameters=0.320M2025.0694.8
ConvpassBackbone=Swin-L, #Trainable Parameters=0.661M2025.0693.3
VPTBackbone=Swin-L, #Trainable Parameters=1.052M2025.0693.3
BitfitBackbone=Swin-L, #Trainable Parameters=0.313M2025.0692
AdapterBackbone=Swin-L, #Trainable Parameters=0.633M2025.0692
AIMBackbone=Swin-L, #Trainable Parameters=0.947M2025.0687.7
ST-AdapterBackbone=Swin-L, #Trainable Parameters=0.334M2025.0686.7
Linear probingBackbone=Swin-L, #Trainable Parameters=0.006M2025.0682.2