Facial manipulation detection on FF++
0.9444AUCEnsemble (B4 + B4ST + B4Att + B4AttST)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Ensemble (B4 + B4ST + B4Att + B4AttST)Constituents=B4, B4ST, B4Att, B4AttST2020.04 | 0.9444 | 0.3294 | |
| Ensemble (B4 + B4ST + B4Att)Constituents=B4, B4ST, B4Att2020.04 | 0.9441 | 0.3371 | |
| Ensemble (B4 + B4Att + B4AttST)Constituents=B4, B4Att, B4AttST2020.04 | 0.9433 | 0.3399 | |
| Ensemble (B4 + B4ST + B4AttST)Constituents=B4, B4ST, B4AttST2020.04 | 0.9432 | 0.3269 | |
| Ensemble (B4 + B4Att)Constituents=B4, B4Att2020.04 | 0.9428 | 0.3566 | |
| Ensemble (B4ST + B4Att + B4AttST)Constituents=B4ST, B4Att, B4AttST2020.04 | 0.9426 | 0.3304 | |
| Ensemble (B4ST + B4Att)Constituents=B4ST, B4Att2020.04 | 0.9423 | 0.3371 | |
| Ensemble (B4 + B4AttST)Constituents=B4, B4AttST2020.04 | 0.9421 | 0.337 | |
| Ensemble (B4 + B4ST)Constituents=B4, B4ST2020.04 | 0.9413 | 0.3411 | |
| Ensemble (B4ST + B4AttST)Constituents=B4ST, B4AttST2020.04 | 0.9393 | 0.3289 | |
| Ensemble (B4Att + B4AttST)Constituents=B4Att, B4AttST2020.04 | 0.939 | 0.3515 | |
| EfficientNet B4Backbone=EfficientNet-B42020.04 | 0.9382 | 0.3777 | |
| EfficientNet B4AttBackbone=EfficientNet-B4, Mechanism=Attention2020.04 | 0.936 | 0.3873 | |
| EfficientNet B4STBackbone=EfficientNet-B4, Strategy=Triplet Siamese training2020.04 | 0.9337 | 0.3439 | |
| EfficientNet B4AttSTBackbone=EfficientNet-B4, Strategy=Triplet Siamese training, Mechanism=Attention2020.04 | 0.9293 | 0.3597 | |
| Xception NetBackbone=Xception2020.04 | 0.9273 | 0.3844 |