Face Recognition

549 papers with code • 22 benchmarks • 61 datasets

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.

( Image credit: Face Verification )

Libraries

Use these libraries to find Face Recognition models and implementations

Latest papers with no code

Cell Variational Information Bottleneck Network

no code yet • 22 Mar 2024

In this work, we propose Cell Variational Information Bottleneck Network (cellVIB), a convolutional neural network using information bottleneck mechanism, which can be combined with the latest feedforward network architecture in an end-to-end training method.

KeyPoint Relative Position Encoding for Face Recognition

no code yet • 21 Mar 2024

By anchoring the significance of pixels around keypoints, the model can more effectively retain spatial relationships, even when those relationships are disrupted by affine transformations.

Hierarchical Generative Network for Face Morphing Attacks

no code yet • 17 Mar 2024

To address the above issues, we propose a novel morphing attack method to improve the quality of morphed images and better preserve the contributing identities.

Generalized Relevance Learning Grassmann Quantization

no code yet • 14 Mar 2024

The proposed model returns a set of prototype subspaces and a relevance vector.

Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack

no code yet • 14 Mar 2024

Specifically, face images are masked in the frequency domain using an adaptive MixUp strategy.

VIGFace: Virtual Identity Generation Model for Face Image Synthesis

no code yet • 13 Mar 2024

Initially, we train the face recognition model using a real face dataset and create a feature space for both real and virtual IDs where virtual prototypes are orthogonal to other prototypes.

Rediscovering BCE Loss for Uniform Classification

no code yet • 12 Mar 2024

We also propose the uniform classification accuracy as a metric to measure the model's performance in uniform classification.

Mitigating the Impact of Attribute Editing on Face Recognition

no code yet • 12 Mar 2024

Facial attribute editing using generative models can impair automated face recognition.

Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis

no code yet • 11 Mar 2024

2D face recognition encounters challenges in unconstrained environments due to varying illumination, occlusion, and pose.

Federated Learning Method for Preserving Privacy in Face Recognition System

no code yet • 8 Mar 2024

Federated learning facilitates the training of a shared model without necessitating the sharing of individual private data, achieving this by training models on decentralized edge devices housing the data.