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Benchmarks
Medical Image Classification on Cell (test)
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95.3
Accuracy
Full fine-tuning
76.996
81.748
86.5
91.252
Jun 23, 2025
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Full fine-tuning
Backbone=Swin-L, #Trai...
2025.06
95.3
LKA
Backbone=Swin-L, #Trai...
2025.06
94.5
LORA
Backbone=Swin-L, #Trai...
2025.06
94
Adapterformer
Backbone=Swin-L, #Trai...
2025.06
93.9
CIAT
Backbone=Swin-L, #Trai...
2025.06
93.6
Bitfit
Backbone=Swin-L, #Trai...
2025.06
92.4
LOSSLESS ADAPTATION
Backbone=Swin-L, #Trai...
2025.06
92.4
RepAdapter
Backbone=Swin-L, #Trai...
2025.06
92.4
Convpass
Backbone=Swin-L, #Trai...
2025.06
92.1
VPT
Backbone=Swin-L, #Trai...
2025.06
91.7
Adapter
Backbone=Swin-L, #Trai...
2025.06
91.4
Linear probing
Backbone=Swin-L, #Trai...
2025.06
85.7
AIM
Backbone=Swin-L, #Trai...
2025.06
84.9
ST-Adapter
Backbone=Swin-L, #Trai...
2025.06
77.7
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