Unsupervised Facial Landmark Detection on MAFL
1 papers with code • 0 benchmarks • 0 datasets
This task has no description! Would you like to contribute one?
Benchmarks
These leaderboards are used to track progress in Unsupervised Facial Landmark Detection on MAFL
No evaluation results yet. Help compare methods by
submitting
evaluation metrics.
Most implemented papers
AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
Our key ingredients are i) an encoder that predicts keypoint locations in an input image, ii) a shared graph as a latent variable that links the same pairs of keypoints in every image, iii) an intermediate edge map that combines the latent graph edge weights and keypoint locations in a soft, differentiable manner, and iv) an inpainting objective on randomly masked images.