Search Results for author:
Found 2 papers, 2 papers with code
LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
This enables our method - namely LAndmark-based Facial Self-supervised learning LAFS), to learn key representation that is more critical for face recognition.
Part-based Face Recognition with Vision Transformers
Holistic methods using CNNs and margin-based losses have dominated research on face recognition.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
