Face Recognition
Facial recognition is the task of making a positive identification of a face in a photo or video image against a pre-existing database of faces. It begins with detection - distinguishing human faces from other objects in the image - and then works on identification of those detected faces.
The state of the art tables for this task are contained mainly in the consistent parts of the task : the face verification and face identification tasks.
State-of-the-art leaderboards
| Trend | Dataset | Best Method | Paper title | Paper | Code | Compare |
|---|---|---|---|---|---|---|
|
||||||
|
||||||
|
Greatest papers with code
FaceNet: A Unified Embedding for Face Recognition and Clustering
CVPR 2015
• davidsandberg/facenet
• 
On the widely used Labeled Faces in the Wild (LFW) dataset, our system achieves a new record accuracy of 99. 63%.
#3 best model for
Face Verification
on Labeled Faces in the Wild
Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment
Face Analysis Project on MXNet
SOTA for Face Alignment on IBUG
FACE ALIGNMENT FACE RECOGNITION ROBUST FACE ALIGNMENT ROBUST FACE RECOGNITION
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
CVPR 2019
• deepinsight/insightface
• 
One of the main challenges in feature learning using Deep Convolutional Neural Networks (DCNNs) for large-scale face recognition is the design of appropriate loss functions that enhance discriminative power.
VGGFace2: A dataset for recognising faces across pose and age
The dataset was collected with three goals in mind: (i) to have both a large number of identities and also a large number of images for each identity; (ii) to cover a large range of pose, age and ethnicity; and (iii) to minimize the label noise.
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
In this paper, we design a benchmark task and provide the associated datasets for recognizing face images and link them to corresponding entity keys in a knowledge base.
Improving Face Anti-Spoofing by 3D Virtual Synthesis
• cleardusk/3DDFA
• 
Specifically, we consider a printed photo as a flat surface and mesh it into a 3D object, which is then randomly bent and rotated in 3D space.
SphereFace: Deep Hypersphere Embedding for Face Recognition
CVPR 2017
• wy1iu/sphereface
•
This paper addresses deep face recognition (FR) problem under open-set protocol, where ideal face features are expected to have smaller maximal intra-class distance than minimal inter-class distance under a suitably chosen metric space.
#3 best model for
Face Verification
on MegaFace
A Light CNN for Deep Face Representation with Noisy Labels
• AlfredXiangWu/face_verification_experiment
•
This paper presents a Light CNN framework to learn a compact embedding on the large-scale face data with massive noisy labels.
#2 best model for
Age-Invariant Face Recognition
on CAFR
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
The 3D shapes of faces are well known to be discriminative.
#3 best model for
3D Face Reconstruction
on Florence
(Average 3D Error metric)
FacePoseNet: Making a Case for Landmark-Free Face Alignment
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.
SOTA for Face Identification on IJB-B
FACE ALIGNMENT FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION FACIAL LANDMARK DETECTION