Facial Landmark Detection

37 papers with code • 6 benchmarks • 10 datasets

Facial landmark detection is the task of detecting key landmarks on the face and tracking them (being robust to rigid and non-rigid facial deformations due to head movements and facial expressions).

( Image credit: Style Aggregated Network for Facial Landmark Detection )

Greatest papers with code

Convolutional Experts Constrained Local Model for Facial Landmark Detection

TadasBaltrusaitis/OpenFace 26 Nov 2016

In our work, we present a novel local detector -- Convolutional Experts Network (CEN) -- that brings together the advantages of neural architectures and mixtures of experts in an end-to-end framework.

Facial Landmark Detection

High-Resolution Representations for Labeling Pixels and Regions

CSAILVision/semantic-segmentation-pytorch 9 Apr 2019

The proposed approach achieves superior results to existing single-model networks on COCO object detection.

Facial Landmark Detection Object Detection +3

Fast Localization of Facial Landmark Points

esimov/pigo 26 Mar 2014

We describe a method that can accurately estimate the positions of relevant facial landmarks in real-time even on hardware with limited processing power, such as mobile devices.

Facial Landmark Detection

A Multiresolution 3D Morphable Face Model and Fitting Framework

patrikhuber/eos 1 Feb 2016

In this paper, we present the Surrey Face Model, a multi-resolution 3D Morphable Model that we make available to the public for non-commercial purposes.

3D Face Reconstruction Face Generation +4

Whole-Body Human Pose Estimation in the Wild

open-mmlab/mmpose ECCV 2020

This paper investigates the task of 2D human whole-body pose estimation, which aims to localize dense landmarks on the entire human body including face, hands, body, and feet.

Facial Landmark Detection Hand Pose Estimation +1

Look at Boundary: A Boundary-Aware Face Alignment Algorithm

open-mmlab/mmpose CVPR 2018

By utilising boundary information of 300-W dataset, our method achieves 3. 92% mean error with 0. 39% failure rate on COFW dataset, and 1. 25% mean error on AFLW-Full dataset.

Face Alignment Facial Landmark Detection

Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection

D-X-Y/landmark-detection ICCV 2019

A typical approach is to (1) train a detector on the labeled images; (2) generate new training samples using this detector's prediction as pseudo labels of unlabeled images; (3) retrain the detector on the labeled samples and partial pseudo labeled samples.

 Ranked #1 on Facial Landmark Detection on 300W (Full) (using extra training data)

Facial Landmark Detection

Style Aggregated Network for Facial Landmark Detection

D-X-Y/SAN CVPR 2018

In this work, we propose a style-aggregated approach to deal with the large intrinsic variance of image styles for facial landmark detection.

 Ranked #1 on Facial Landmark Detection on AFLW-Front (Mean NME metric)

Facial Landmark Detection

PFLD: A Practical Facial Landmark Detector

guoqiangqi/PFLD 28 Feb 2019

Being accurate, efficient, and compact is essential to a facial landmark detector for practical use.

Face Alignment Facial Landmark Detection