Table 3

Shape bias and accuracy of the ImageNet validation set of EfficientNetV2-S. IN: ImageNet, SIN: Stylized-ImageNet, L0IN: L0-ImageNet (proposed method).

pretraining dataFine-tuning dataShape biasTOP-1TOP-5
IN-0.14481.595.6
SIN + IN-0.28280.295.0
SIN + ININ0.17880.895.3
LOIN + IN-0.16181.195.5
LOIN + ININ0.15281.395.6

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