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Image Classification on Average (CIFAR, CUB, Flowers, Food, Pets, VWW)

88.75Top-1 AccuracyD-Det RGN
85.661286.463187.26588.0669Oct 22, 2025

Evaluation results

MethodLinks
D-Det RGNModel=SwinT, Memory Budget (B_mem)=2767686, Evaluation Protocol=fine-tuned2025.1088.75
BaselineModel=SwinT, Memory Budget (B_mem)=31889952, Evaluation Protocol=fine-tuned2025.1088.5
TRaDyModel=SwinT, Memory Budget (B_mem)=2767686, Evaluation Protocol=fine-tuned2025.1088.48
D-Full RandomModel=SwinT, Memory Budget (B_mem)=2767686, Evaluation Protocol=fine-tuned2025.1088.44
D-Det RGNModel=SwinT, Memory Budget (B_mem)=633859, Evaluation Protocol=fine-tuned2025.1088.11
TRaDyModel=SwinT, Memory Budget (B_mem)=633859, Evaluation Protocol=fine-tuned2025.1087.7
D-Full RandomModel=SwinT, Memory Budget (B_mem)=633859, Evaluation Protocol=fine-tuned2025.1087.67
D-Det RGNModel=SwinT, Memory Budget (B_mem)=112640, Evaluation Protocol=fine-tuned2025.1087.28
TRaDyModel=SwinT, Memory Budget (B_mem)=112640, Evaluation Protocol=fine-tuned2025.1087.1
D-Det RGNModel=SwinT, Memory Budget (B_mem)=27946, Evaluation Protocol=fine-tuned2025.1086.9
TRaDyModel=SwinT, Memory Budget (B_mem)=27946, Evaluation Protocol=fine-tuned2025.1086.83
D-Full RandomModel=SwinT, Memory Budget (B_mem)=27946, Evaluation Protocol=fine-tuned2025.1086.4
D-Full RandomModel=SwinT, Memory Budget (B_mem)=112640, Evaluation Protocol=fine-tuned2025.1085.78