9 datasets found

Look at boundary: A boundary-aware face alignment algorithm.

300W-LP dataset is an extension of 300W dataset which is a combination of several datasets, for instance, HELEN, AFW, IBUG, LFPW, etc.

The proposed method incorporates a backbone replaceable network as the basic facial landmark detector.

The proposed method incorporates a backbone replaceable network as the basic facial landmark detector.

The proposed method incorporates a backbone replaceable network as the basic facial landmark detector.

The WFLW dataset is a newly introduced dataset with 98 manually annotated landmarks.

The 300W dataset is a widely used benchmark for 2D face alignment.

The COFW dataset contains 1,345 training images and 507 testing images annotated with 29 landmarks.

Facial landmark detection aims to detect the location of predefined facial landmarks, such as the corners of the eyes, eyebrows, the tip of the nose. It has drawn much attention...