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RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection
[article]
2022
arXiv
pre-print
This paper presents a Refinement Pyramid Transformer (RePFormer) for robust facial landmark detection. Most facial landmark detectors focus on learning representative image features. However, these CNN-based feature representations are not robust enough to handle complex real-world scenarios due to ignoring the internal structure of landmarks, as well as the relations between landmarks and context. In this work, we formulate the facial landmark detection task as refining landmark queries along
arXiv:2207.03917v1
fatcat:5tfghqbubvfn3dzfrbqzn4g6ce