No-Reference Image Quality Assessment on LIVEC (test)
0.875PLCC (MOS vs Predicted After Attack)DBCNN
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| DBCNNTraining Strategy=base, Adversarial Attack=Kor.*2024.03 | 0.875 | 0.972 | — | — | |
| HyperIQATraining Strategy=NT, Adversarial Attack=Perceptual2024.03 | 0.868 | 1 | — | — | |
| DBCNNTraining Strategy=NT, Adversarial Attack=Kor.*2024.03 | 0.868 | 0.98 | — | — | |
| MANIQATraining Strategy=NT, Adversarial Attack=FGSM2024.03 | 0.861 | 0.929 | — | — | |
| MANIQATraining Strategy=NT, Adversarial Attack=Kor.*2024.03 | 0.856 | 0.969 | — | — | |
| MANIQATraining Strategy=base, Adversarial Attack=Kor.*2024.03 | 0.838 | 0.942 | — | — | |
| MANIQATraining Strategy=NT, Adversarial Attack=UAP*2024.03 | 0.837 | 0.995 | — | — | |
| HyperIQATraining Strategy=base, Adversarial Attack=Perceptual2024.03 | 0.83 | 0.937 | — | — | |
| HyperIQATraining Strategy=NT, Adversarial Attack=UAP*2024.03 | 0.817 | 0.943 | — | — | |
| HyperIQATraining Strategy=NT, Adversarial Attack=Kor.*2024.03 | 0.806 | 0.933 | — | — | |
| HyperIQATraining Strategy=NT, Adversarial Attack=FGSM2024.03 | 0.801 | 0.926 | — | — | |
| HyperIQATraining Strategy=base, Adversarial Attack=Kor.*2024.03 | 0.801 | 0.875 | — | — | |
| DBCNNTraining Strategy=NT, Adversarial Attack=UAP*2024.03 | 0.776 | 0.884 | — | — | |
| LinearityIQATraining Strategy=base, Adversarial Attack=Kor.*2024.03 | 0.774 | 0.914 | — | — | |
| LinearityIQATraining Strategy=NT, Adversarial Attack=Kor.*2024.03 | 0.774 | 0.933 | — | — | |
| MANIQATraining Strategy=base, Adversarial Attack=UAP*2024.03 | 0.766 | 0.998 | — | — | |
| HyperIQATraining Strategy=base, Adversarial Attack=UAP*2024.03 | 0.733 | 0.826 | — | — | |
| LinearityIQATraining Strategy=NT, Adversarial Attack=UAP*2024.03 | 0.729 | 0.876 | — | — | |
| DBCNNTraining Strategy=base, Adversarial Attack=UAP*2024.03 | 0.701 | 0.811 | — | — | |
| MANIQATraining Strategy=base, Adversarial Attack=Perceptual2024.03 | 0.696 | 0.928 | — | — | |
| LinearityIQATraining Strategy=base, Adversarial Attack=UAP*2024.03 | 0.694 | 0.805 | — | — | |
| MANIQATraining Strategy=NT, Adversarial Attack=Perceptual2024.03 | 0.691 | 0.978 | — | — | |
| MANIQATraining Strategy=base, Adversarial Attack=FGSM2024.03 | 0.599 | 0.535 | — | — | |
| DBCNNTraining Strategy=NT, Adversarial Attack=Perceptual2024.03 | 0.585 | 0.719 | — | — | |
| LinearityIQATraining Strategy=NT, Adversarial Attack=Perceptual2024.03 | 0.528 | 0.582 | — | — | |
| LinearityIQATraining Strategy=base, Adversarial Attack=Perceptual2024.03 | 0.487 | 0.522 | — | — | |
| DBCNNTraining Strategy=NT, Adversarial Attack=FGSM2024.03 | 0.251 | 0.196 | — | — | |
| HyperIQATraining Strategy=base, Adversarial Attack=FGSM2024.03 | -0.009 | 0.042 | — | — | |
| DBCNNTraining Strategy=base, Adversarial Attack=Perceptual2024.03 | -0.03 | -0.005 | — | — | |
| DBCNNTraining Strategy=base, Adversarial Attack=FGSM2024.03 | -0.383 | -0.418 | — | — | |
| LinearityIQATraining Strategy=NT, Adversarial Attack=FGSM2024.03 | -0.387 | -0.439 | — | — | |
| LinearityIQATraining Strategy=base, Adversarial Attack=FGSM2024.03 | -0.497 | -0.569 | — | — | |
| DBCNNAttack=FGSM, Training Strategy=Baseline2024.03 | — | — | 32.778 | -0.333 | |
| DBCNNAttack=FGSM, Training Strategy=NT2024.03 | — | — | 19.065 | 0.227 | |
| DBCNNAttack=Perceptual, Training Strategy=Baseline2024.03 | — | — | 63.991 | -0.16 | |
| DBCNNAttack=Perceptual, Training Strategy=NT2024.03 | — | — | 14.524 | 0.773 | |
| DBCNNAttack=UAP*, Training Strategy=Baseline2024.03 | — | — | 14.833 | 0.836 | |
| DBCNNAttack=UAP*, Training Strategy=NT2024.03 | — | — | 10.922 | 0.887 | |
| DBCNNAttack=Kor.*, Training Strategy=Baseline2024.03 | — | — | 6.514 | 0.978 | |
| DBCNNAttack=Kor.*, Training Strategy=NT2024.03 | — | — | 5.298 | 0.983 | |
| HyperIQAAttack=FGSM, Training Strategy=Baseline2024.03 | — | — | 19.174 | 0.043 | |
| HyperIQAAttack=FGSM, Training Strategy=NT2024.03 | — | — | 7.885 | 0.941 | |
| HyperIQAAttack=Perceptual, Training Strategy=Baseline2024.03 | — | — | 6.36 | 0.938 | |
| HyperIQAAttack=Perceptual, Training Strategy=NT2024.03 | — | — | 0.13 | 1 | |
| HyperIQAAttack=UAP*, Training Strategy=Baseline2024.03 | — | — | 10.583 | 0.825 | |
| HyperIQAAttack=UAP*, Training Strategy=NT2024.03 | — | — | 8.131 | 0.941 | |
| HyperIQAAttack=Kor.*, Training Strategy=Baseline2024.03 | — | — | 13.698 | 0.892 | |
| HyperIQAAttack=Kor.*, Training Strategy=NT2024.03 | — | — | 10.107 | 0.922 | |
| LinearityIQAAttack=FGSM, Training Strategy=Baseline2024.03 | — | — | 48.128 | -0.429 | |
| LinearityIQAAttack=FGSM, Training Strategy=NT2024.03 | — | — | 36.988 | -0.426 | |
| LinearityIQAAttack=Perceptual, Training Strategy=Baseline2024.03 | — | — | 115.732 | 0.542 | |
| LinearityIQAAttack=Perceptual, Training Strategy=NT2024.03 | — | — | 80.857 | 0.685 | |
| LinearityIQAAttack=UAP*, Training Strategy=Baseline2024.03 | — | — | 20.813 | 0.836 | |
| LinearityIQAAttack=UAP*, Training Strategy=NT2024.03 | — | — | 19.434 | 0.869 | |
| LinearityIQAAttack=Kor.*, Training Strategy=Baseline2024.03 | — | — | 14.807 | 0.936 | |
| LinearityIQAAttack=Kor.*, Training Strategy=NT2024.03 | — | — | 12.407 | 0.936 | |
| MANIQAAttack=FGSM, Training Strategy=Baseline2024.03 | — | — | 15.549 | 0.428 | |
| MANIQAAttack=FGSM, Training Strategy=NT2024.03 | — | — | 6.562 | 0.878 | |
| MANIQAAttack=Perceptual, Training Strategy=Baseline2024.03 | — | — | 0.079 | 1 | |
| MANIQAAttack=Perceptual, Training Strategy=NT2024.03 | — | — | 0.189 | 1 | |
| MANIQAAttack=UAP*, Training Strategy=Baseline2024.03 | — | — | 5.795 | 0.923 | |
| MANIQAAttack=UAP*, Training Strategy=NT2024.03 | — | — | 5.592 | 0.976 | |
| MANIQAAttack=Kor.*, Training Strategy=Baseline2024.03 | — | — | 7.759 | 0.942 | |
| MANIQAAttack=Kor.*, Training Strategy=NT2024.03 | — | — | 6.68 | 0.969 |