Research map / Image generation / Autoregressive and latent generation
AIRD: Adversarial Learning Framework for Image Repurposing Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add adversarial training with the counterfeiter (ablation) | NAD detector · Google Landmarks | AUC: 0.95 -> 0.98 | Helped |
| add adversarial training with the counterfeiter (ablation) | NAD detector · Google Landmarks | ACC: 0.90 -> 0.94 | Helped |
| add adversarial training with the counterfeiter (ablation) | NAD detector · IJBC-IRD | AUC: 0.95 -> 0.97 | Helped |
| add adversarial training with the counterfeiter (ablation) | NAD detector · IJBC-IRD | F1-clean: 0.86 -> 0.89 | Helped |
| add adversarial training with the counterfeiter (ablation) | NAD detector · Painter by Numbers | AUC: 0.80 -> 0.84 | Helped |
| add adversarial training with the counterfeiter (ablation) | NAD detector · Painter by Numbers | F1-clean: 0.63 -> 0.68 | Helped |
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