Unsupervised Facial Landmark Detection On 5
Metrics
NME
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | NME |
|---|---|
| unsupervised-part-based-disentangling-of | 11.41 |
| unsupervised-learning-of-object-landmarks | 8.74 |
| scops-self-supervised-co-part-segmentation | 15.01 |
| autolink-self-supervised-learning-of-human | 5.24 |
| unsupervised-part-segmentation-through | 12.26 |
| unsupervised-learning-of-object-landmarks-by | 31.3 |
| deep-feature-factorization-for-concept | 31.30 |
| unsupervised-discovery-of-object-landmarks-as | 40.82 |
| ganseg-learning-to-segment-by-unsupervised | 6.18 |