Facial Attribute Classification on CelebA (T/S Specific Metrics)
6.5EO (T=a/S=m)FSCL+
Evaluation Results
| Method | Links | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FSCL+Backbone=ResNet-182022.03 | 6.5 | 79.1 | 12.4 | 79.1 | 4.7 | 82.9 | 4.8 | 84.1 | 3 | 83.4 | 1.6 | 83.5 | 3.6 | 74.8 | 2.5 | 70.8 | 17 | 77.2 | |
| MFDBackbone=ResNet-182022.03 | 7.4 | 78 | 14.9 | 80 | 7.3 | 78 | 5.4 | 78 | 8.7 | 79 | 5.2 | 78 | 8.7 | 74 | 9 | 70 | 19.4 | 76.1 | |
| FSCLBackbone=ResNet-182022.03 | 11.5 | 79.1 | 13 | 79.1 | 7 | 82.1 | 6.4 | 83.8 | 3.8 | 82.7 | 1.8 | 82 | 8.1 | 74.1 | 6.8 | 71.1 | 19.9 | 79.4 | |
| FD-VAEBackbone=ResNet-182022.03 | 15.1 | 76.9 | 14.8 | 77.5 | 11.2 | 81.6 | 6.7 | 81.7 | 5.7 | 82.6 | 6.2 | 84 | 18.2 | 73.4 | 8.2 | 70.2 | 19.9 | 78 | |
| LNLBackbone=ResNet-182022.03 | 21.8 | 79.9 | 13.7 | 74.3 | 10.7 | 82.3 | 6.8 | 82.3 | 5 | 81.6 | 3.3 | 80.3 | 16.7 | 72.9 | 7.4 | 70.8 | 20.7 | 77.7 | |
| GRLBackbone=ResNet-182022.03 | 24.9 | 77.2 | 14.7 | 74.6 | 14 | 82.5 | 10 | 83.3 | 6.7 | 81.9 | 5.9 | 82.3 | 17.8 | 73.1 | 9.4 | 71.4 | 22.9 | 78.6 | |
| CEBackbone=ResNet-182022.03 | 27.8 | 79.6 | 16.8 | 79.8 | 17.6 | 84 | 14.7 | 84.5 | 15 | 83.9 | 12.7 | 83.8 | 30 | 73.9 | 12.9 | 72.6 | 31.3 | 79.5 | |
| SupConBackbone=ResNet-182022.03 | 30.5 | 80.5 | 21.7 | 80.1 | 20.7 | 84.6 | 16.9 | 84.4 | 20.8 | 84.3 | 10.8 | 84 | 22.8 | 74 | 12.5 | 72.7 | 24.4 | 81.7 |