| Bayar2016 | Xception | Proposed model |
---|
Dell (4c) | 0.6506 | 0.649 | 0.713 |
Xerox1 (4c) | 0.7001 | 0.626 | 0.696 |
Xeros2 (4c) | 0.5381 | 0.623 | 0.663 |
JPEG (4c) | 0.2643 | 0.2902 | 0.2601 |
Original (4c) | 0.2617 | 0.2847 | 0.2449 |
- Bold values refer to models that perform better than the rest - to highlight the model performance - its a common practice to do this and usually helps improve readability
- One possible explanation for the poor validation accuracy on a single printer could be the small size of the data set. To investigate this, we combine the images from all three printers for training, but note that performance on a single printer does not improve. Here 4c indicates that we used the restricted set of manipulations (AWGN, GB, MF, and PR) (see Sect. 4)