Robust Face Recognition
19 papers with code • 0 benchmarks • 5 datasets
Robust face recognition is the task of performing recognition in an unconstrained environment, where there is variation of view-point, scale, pose, illumination and expression of the face images.
( Image credit: MeGlass dataset )
Benchmarks
These leaderboards are used to track progress in Robust Face Recognition
MALF
UFDD
MeGlass
DroneSURF
Most implemented papers
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
zhongyy/SFace
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IEEE Transactions on Image Processing 2021
Deep face recognition has achieved great success due to large-scale training databases and rapidly developing loss functions.
Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment
Face Analysis Project on MXNet
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
Face image quality is an important factor to enable high performance face recognition systems.
Fast L1-Minimization Algorithms For Robust Face Recognition
L1-minimization refers to finding the minimum L1-norm solution to an underdetermined linear system b=Ax.
Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition
To perform unconstrained face recognition robust to variations in illumination, pose and expression, this paper presents a new scheme to extract "Multi-Directional Multi-Level Dual-Cross Patterns" (MDML-DCPs) from face images.
A Fast and Accurate Unconstrained Face Detector
First, a new image feature called Normalized Pixel Difference (NPD) is proposed.
A Comprehensive Survey on Pose-Invariant Face Recognition
The capacity to recognize faces under varied poses is a fundamental human ability that presents a unique challenge for computer vision systems.
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
penincillin/DREAM
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CVPR 2018
However, many contemporary face recognition models still perform relatively poor in processing profile faces compared to frontal faces.
Face Synthesis for Eyeglass-Robust Face Recognition
A feasible method is to collect large-scale face images with eyeglasses for training deep learning methods.
Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network
Deep Convolutional Neural Networks (CNNs) have been pushing the frontier of the face recognition research in the past years.
