Table 7 Accuracy of the reference deep learning models for each PAIs technique and bona fide samples on the few-shot and unbalanced data partition.
Model | Bona Fide | Inpainting | Crop & Replace |
---|---|---|---|
EfficientNet | 89.5 ± 3.07 | 86.8 ± 2.42 | 91.3 ± 5.04 |
ResNet | 91.8 ± 2.67 | 91.2 ± 2.72 | 91.6 ± 8.51 |
VIT | 91.6 ± 5.94 | 88.5 ± 4.80 | 96.1 ± 2.11 |
TransFG | 85.7 ± 5.60 | 83.6 ± 6.50 | 87.1 ± 7.10 |
CoAARC | 67.4 ± 4.60 | 66.2 ± 6.38 | 70.7 ± 8.27 |