Image Manipulation Detection on CycleGAN Facades (test)
100AP (%)[28]
Evaluation results
| Method | Links | ||
|---|---|---|---|
| [28]Train GM=CycleGAN2022.03 | 100 | — | |
| [59]Train GM=AutoGAN2022.03 | 100 | — | |
| proactive IMDTrain GM=STGAN + AutoGAN, Set size=32022.03 | 100 | — | |
| proactive IMDTrain GM=STGAN, Set size=202022.03 | 99.66 | — | |
| proactive IMDTrain GM=AutoGAN, Set size=32022.03 | 97.87 | — | |
| proactive IMDTrain GM=AutoGAN, Set size=202022.03 | 97.05 | — | |
| proactive IMDTrain GM=STGAN, Set size=32022.03 | 96.12 | — | |
| [48]Train GM=ProGAN2022.03 | 84 | — | |
| [10]Train GM=ProGAN2022.03 | 77.2 | — | |
| proactive IMDTrain GM=STGAN2022.03 | — | 88.5 | |
| Wang et al.Train GM=ProGAN2022.03 | — | 55.98 |