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Facial Landmark Detection

13 papers with code · Computer Vision

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).

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Greatest papers with code

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

6 Aug 2019D-X-Y/SAN

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.

FACIAL LANDMARK DETECTION

Style Aggregated Network for Facial Landmark Detection

CVPR 2018 D-X-Y/SAN

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

FACIAL LANDMARK DETECTION

FacePoseNet: Making a Case for Landmark-Free Face Alignment

24 Aug 2017fengju514/Face-Pose-Net

Instead, we compare our FPN with existing methods by evaluating how they affect face recognition accuracy on the IJB-A and IJB-B benchmarks: using the same recognition pipeline, but varying the face alignment method.

FACE ALIGNMENT FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION FACIAL LANDMARK DETECTION

ExpNet: Landmark-Free, Deep, 3D Facial Expressions

2 Feb 2018fengju514/Expression-Net

Our ExpNet CNN is applied directly to the intensities of a face image and regresses a 29D vector of 3D expression coefficients.

3D FACIAL EXPRESSION RECOGNITION EMOTION RECOGNITION FACIAL LANDMARK DETECTION

Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters

9 Feb 2019justusschock/shapenet

We present a method for highly efficient landmark detection that combines deep convolutional neural networks with well established model-based fitting algorithms.

FACIAL LANDMARK DETECTION MEDICAL IMAGE SEGMENTATION SEMANTIC SEGMENTATION

A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection

CVPR 2017 shaoxiaohu/Face_Alignment_Two_Stage_Re-initialization

At the global stage, given an image with a rough face detection result, the full face region is firstly re-initialized by a supervised spatial transformer network to a canonical shape state and then trained to regress a coarse landmark estimation.

FACE DETECTION FACIAL LANDMARK DETECTION

Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation

18 Aug 2019thesouthfrog/stylealign

Facial landmark detection, or face alignment, is a fundamental task that has been extensively studied.

FACE ALIGNMENT FACIAL LANDMARK DETECTION

Unsupervised Learning of Landmarks by Descriptor Vector Exchange

18 Aug 2019jamt9000/DVE

Equivariance to random image transformations is an effective method to learn landmarks of object categories, such as the eyes and the nose in faces, without manual supervision.

UNSUPERVISED FACIAL LANDMARK DETECTION

Combining Data-driven and Model-driven Methods for Robust Facial Landmark Detection

30 Nov 2016HongwenZhang/ECT-FaceAlignment

This Estimation-Correction-Tuning process perfectly combines the advantages of the global robustness of data-driven method (FCN), outlier correction capability of model-driven method (PDM) and non-parametric optimization of RLMS.

FACIAL LANDMARK DETECTION