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ResearchFormerly WizWand

Image Classification on GTS

93.24AccuracyOurs (T*cn)
69.236875.468481.787.9316Apr 22, 2025
Updated 6mo ago

Evaluation results

MethodLinks
Ours (T*cn)Backbone=SwinT, Training Scenario=FT2025.0493.24
Ours (T*csgcn)Backbone=ResNet50, Training Scenario=FT2025.0492.94
T = sqrt(M)Backbone=SwinT, Training Scenario=FT2025.0492.78
Ours (T*csg)Backbone=SwinT, Training Scenario=FT2025.0492.6
Ours (T*)Backbone=SwinT, Training Scenario=FT2025.0492.49
Ours (T*)Backbone=ResNet50, Training Scenario=FT2025.0492.43
Ours (T*csg)Backbone=ResNet50, Training Scenario=FT2025.0492.39
Ours (T*cn)Backbone=ResNet50, Training Scenario=FT2025.0492.29
Ours (T*csgcn)Backbone=ResNet50, Training Scenario=init2025.0492.18
Ours (T*csgcn)Backbone=SwinT, Training Scenario=FT2025.0492.13
Ours (T*cn)Backbone=ResNet50, Training Scenario=init2025.0492.01
Insert LNBackbone=ResNet50, Training Scenario=FT2025.0491.84
Insert LNBackbone=SwinT, Training Scenario=FT2025.0491.03
T = 1Backbone=SwinT, Training Scenario=FT2025.0489.64
T = 1Backbone=ResNet50, Training Scenario=FT2025.0489.14
T = sqrt(M)Backbone=ResNet50, Training Scenario=init2025.0488.69
T = sqrt(M)Backbone=ResNet50, Training Scenario=FT2025.0487.96
Ours (T*csg)Backbone=ResNet50, Training Scenario=init2025.0487.56
Ours (T*)Backbone=ResNet50, Training Scenario=init2025.0487.26
Insert LNBackbone=ResNet50, Training Scenario=init2025.0471.56
T = 1Backbone=ResNet50, Training Scenario=init2025.0470.16