Image Manipulation Detection On Coverage
평가 지표
AUC
Balanced Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | AUC | Balanced Accuracy |
|---|---|---|
| span-spatial-pyramid-attention-network-for | .670 | .235 |
| exploring-multi-modal-fusion-for-image | .839 | .770 |
| mantra-net-manipulation-tracing-network-for | .760 | .500 |
| image-manipulation-detection-by-multi-view | .733 | .514 |
| trufor-leveraging-all-round-clues-for | .770 | .680 |
| exploring-multi-modal-fusion-for-image | .792 | .720 |
| learning-jpeg-compression-artifacts-for-image | .680 | .635 |
| constrained-r-cnn-a-general-image | .553 | .391 |