The Annotated Facial Landmarks in the Wild (AFLW) is a large-scale collection of annotated face images gathered from Flickr, exhibiting a large variety in ...

The database contains about 25k annotated faces in real-world images. · In total AFLW contains roughly 380k manually annotated facial landmarks of a 21 point ...

AFLW-19 (The 19 landmark variant of AFLW.) Introduced by Zhu et al. in Unconstrained Face Alignment via Cascaded Compositional Learning.

This is a pytorch version of Convolutional Pose Machines for facial landmarks detection,you can find more details in original paper for Convolutional Pose ...

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23 нояб. 2022 г. · AFLW2000-3D is a dataset of 2000 images that have been annotated with image-level 68-point 3D facial landmarks.

Annotated Facial Landmarks in the Wild (AFLW) [1] provides a large-scale collection of annotated face images gathered from the web, exhibiting a large ...

Nowadays, face detection and head pose estimation have a lot of application such as face recognition, aiding in gaze estimation and modeling attention.

o Purpose: Annotated Facial Landmarks in the Wild (AFLW) provides a large-scale collection of annotated face images gathered from Flickr, exhibiting a large ...

We introduce a novel semi-supervised learning approach that learns 3D landmarks by directly lifting (visible) hand-labeled 2D landmarks and ensures better ...