Facial manipulation detection on DFDC
88.13AUCEnsemble (B4 + B4ST + B4Att)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Ensemble (B4 + B4ST + B4Att)Constituents=B4, B4ST, B4Att2020.04 | 88.13 | 0.464 | |
| Ensemble (B4 + B4ST)Constituents=B4, B4ST2020.04 | 88 | 0.4687 | |
| Ensemble (B4 + B4Att)Constituents=B4, B4Att2020.04 | 87.85 | 0.4731 | |
| Xception NetBackbone=Xception2020.04 | 87.84 | 0.4897 | |
| Ensemble (B4 + B4ST + B4Att + B4AttST)Constituents=B4, B4ST, B4Att, B4AttST2020.04 | 87.82 | 0.4658 | |
| Ensemble (B4 + B4ST + B4AttST)Constituents=B4, B4ST, B4AttST2020.04 | 87.69 | 0.4684 | |
| EfficientNet B4Backbone=EfficientNet-B42020.04 | 87.66 | 0.4819 | |
| Ensemble (B4ST + B4Att)Constituents=B4ST, B4Att2020.04 | 87.6 | 0.477 | |
| Ensemble (B4 + B4Att + B4AttST)Constituents=B4, B4Att, B4AttST2020.04 | 87.51 | 0.4717 | |
| Ensemble (B4 + B4AttST)Constituents=B4, B4AttST2020.04 | 87.29 | 0.4739 | |
| Ensemble (B4ST + B4Att + B4AttST)Constituents=B4ST, B4Att, B4AttST2020.04 | 87.19 | 0.48 | |
| EfficientNet B4STBackbone=EfficientNet-B4, Strategy=Triplet Siamese training2020.04 | 86.58 | 0.5075 | |
| EfficientNet B4AttBackbone=EfficientNet-B4, Mechanism=Attention2020.04 | 86.42 | 0.5133 | |
| Ensemble (B4ST + B4AttST)Constituents=B4ST, B4AttST2020.04 | 86.42 | 0.4977 | |
| Ensemble (B4Att + B4AttST)Constituents=B4Att, B4AttST2020.04 | 86.25 | 0.4997 | |
| EfficientNet B4AttSTBackbone=EfficientNet-B4, Strategy=Triplet Siamese training, Mechanism=Attention2020.04 | 83.6 | 0.5507 |