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ResearchFormerly WizWand

Medical Image Classification on Covid (test)

97.4AccuracyFull fine-tuning
48.98861.556574.12586.6935Jun 23, 2025Jul 9, 2025Jul 25, 2025Aug 11, 2025Aug 27, 2025Sep 12, 2025Sep 29, 2025
Updated 8mo ago

Evaluation results

MethodLinks
Full fine-tuningBackbone=Swin-L, #Trainable Parameters=195M2025.0697.4
LKABackbone=Swin-L, #Trainable Parameters=0.652M2025.0697.4
ConvpassBackbone=Swin-L, #Trainable Parameters=0.661M2025.0695.5
CIATBackbone=Swin-L, #Trainable Parameters=0.966M2025.0695.2
LOSSLESS ADAPTATIONBackbone=Swin-L, #Trainable Parameters=0.320M2025.0694.8
BitfitBackbone=Swin-L, #Trainable Parameters=0.313M2025.0694.6
AdapterformerBackbone=Swin-L, #Trainable Parameters=0.320M2025.0694.5
RepAdapterBackbone=Swin-L, #Trainable Parameters=0.486M2025.0694.4
LORABackbone=Swin-L, #Trainable Parameters=0.578M2025.0694.3
AdapterBackbone=Swin-L, #Trainable Parameters=0.633M2025.0693.7
AIMBackbone=Swin-L, #Trainable Parameters=0.947M2025.0693.7
Linear probingBackbone=Swin-L, #Trainable Parameters=0.006M2025.0693.4
VPTBackbone=Swin-L, #Trainable Parameters=1.052M2025.0692.6
Real DatasetBackbone=5-layer ConvNet2025.0991.49
HoP-TMIPC=50, Backbone=5-layer ConvNet2025.0987.71
ATTIPC=50, Backbone=5-layer ConvNet2025.0987.62
DATMIPC=50, Backbone=5-layer ConvNet2025.0987.38
FTDIPC=50, Backbone=5-layer ConvNet2025.0986.96
MTTIPC=50, Backbone=5-layer ConvNet2025.0986.11
HoP-TMIPC=10, Backbone=5-layer ConvNet2025.0984.42
FTDIPC=10, Backbone=5-layer ConvNet2025.0984.09
ST-AdapterBackbone=Swin-L, #Trainable Parameters=0.334M2025.0683.3
MTTIPC=10, Backbone=5-layer ConvNet2025.0983.3
DATMIPC=10, Backbone=5-layer ConvNet2025.0982.11
HoP-TMIPC=5, Backbone=5-layer ConvNet2025.0980.81
DATMIPC=5, Backbone=5-layer ConvNet2025.0979.59
IDMIPC=50, Backbone=5-layer ConvNet2025.0979.28
DMIPC=50, Backbone=5-layer ConvNet2025.0979.1
ATTIPC=10, Backbone=5-layer ConvNet2025.0975.12
MTTIPC=5, Backbone=5-layer ConvNet2025.0974.94
FTDIPC=5, Backbone=5-layer ConvNet2025.0974.14
ATTIPC=5, Backbone=5-layer ConvNet2025.0973.8
IDMIPC=10, Backbone=5-layer ConvNet2025.0972.77
DMIPC=10, Backbone=5-layer ConvNet2025.0972.68
HoP-TMIPC=1, Backbone=5-layer ConvNet2025.0969.71
IDMIPC=5, Backbone=5-layer ConvNet2025.0968.51
DATMIPC=1, Backbone=5-layer ConvNet2025.0968.46
ATTIPC=1, Backbone=5-layer ConvNet2025.0967.83
IDMIPC=1, Backbone=5-layer ConvNet2025.0967.78
DMIPC=5, Backbone=5-layer ConvNet2025.0965.13
FTDIPC=1, Backbone=5-layer ConvNet2025.0960.55
MTTIPC=1, Backbone=5-layer ConvNet2025.0956.98
DMIPC=1, Backbone=5-layer ConvNet2025.0950.85