computer-vision
Face Alignment
3260 papers • 126 benchmarks • 313 datasets
Face alignment is the task of identifying the geometric structure of faces in digital images, and attempting to obtain a canonical alignment of the face based on translation, scale, and rotation. ( Image credit: 3DDFA_V2 )
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in face-alignment
Trend
Dataset
Best Model
Actions
300W
300W
WFLW
WFLW
COFW
COFW
Libraries
iUse these libraries to find face-alignment models and implementations
3 papers 4,739
Datasets
Subtasks
No subtasks available.
Most implemented papers
Deep High-Resolution Representation Learning for Visual Recognition
Ke Sun, Bin Xiao, Jingdong Wang, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu•Mon Aug 19 2019
The superiority of the proposed HRNet in a wide range of applications, including human pose estimation, semantic segmentation, and object detection, is shown, suggesting that the HRNet is a stronger backbone for computer vision problems.
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