Robust Face Recognition
19 papers with code • 0 benchmarks • 4 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
OCFR-LFW
Latest papers with no code
SASMU: boost the performance of generalized recognition model using synthetic face dataset
In this paper, we propose SASMU, a simple, novel, and effective method for face recognition using a synthetic dataset.
Distilling Facial Knowledge With Teacher-Tasks: Semantic-Segmentation-Features For Pose-Invariant Face-Recognition
This paper demonstrates a novel approach to improve face-recognition pose-invariance using semantic-segmentation features.
Towards Robust Face Recognition with Comprehensive Search
To eliminate the bias of single-aspect research and provide an overall understanding of the face recognition model design, we first carefully design the search space for each aspect, then a comprehensive search method is introduced to jointly search optimal data cleaning, architecture, and loss function design.
Median Pixel Difference Convolutional Network for Robust Face Recognition
Face recognition is one of the most active tasks in computer vision and has been widely used in the real world.
PAM: Pose Attention Module for Pose-Invariant Face Recognition
It is noteworthy that our method is not limited to face recognition with large pose variations.
3D human tongue reconstruction from single "in-the-wild" images
3D face reconstruction from a single image is a task that has garnered increased interest in the Computer Vision community, especially due to its broad use in a number of applications such as realistic 3D avatar creation, pose invariant face recognition and face hallucination.
Face Recognition using 3D CNNs
In this work, we used video as input to the 3D CNN architectures for capturing both spatial and time domain information from the video for face recognition in real world environment.
High Order Local Directional Pattern Based Pyramidal Multi-structure for Robust Face Recognition
Derived from a general definition of texture in a local neighborhood, local directional pattern (LDP) encodes the directional information in the small local 3x3 neighborhood of a pixel, which may fail to extract detailed information especially during changes in the input image due to illumination variations.
Facial UV Map Completion for Pose-invariant Face Recognition: A Novel Adversarial Approach based on Coupled Attention Residual UNets
A promising approach to deal with pose variation is to fulfill incomplete UV maps extracted from in-the-wild faces, then attach the completed UV map to a fitted 3D mesh and finally generate different 2D faces of arbitrary poses.
Generalized Multi-view Shared Subspace Learning using View Bootstrapping
A key objective in multi-view learning is to model the information common to multiple parallel views of a class of objects/events to improve downstream learning tasks.
