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Found 12 papers, 4 papers with code
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
Synthetic data is gaining increasing relevance for training machine learning models.
SDFR: Synthetic Data for Face Recognition Competition
The submitted models were trained on existing and also new synthetic datasets and used clever methods to improve training with synthetic data.
ChatGPT and biometrics: an assessment of face recognition, gender detection, and age estimation capabilities
This paper explores the application of large language models (LLMs), like ChatGPT, for biometric tasks.
Model Pairing Using Embedding Translation for Backdoor Attack Detection on Open-Set Classification Tasks
Backdoor attacks allow an attacker to embed a specific vulnerability in a machine learning algorithm, activated when an attacker-chosen pattern is presented, causing a specific misprediction.
Approximating Optimal Morphing Attacks using Template Inversion
Recent works have demonstrated the feasibility of inverting face recognition systems, enabling to recover convincing face images using only their embeddings.
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must be covered in more detail.
SynthDistill: Face Recognition with Knowledge Distillation from Synthetic Data
While generating synthetic datasets for training face recognition models is an alternative option, it is challenging to generate synthetic data with sufficient intra-class variations.
Ranked #1 on
Synthetic Face Recognition
on AgeDB-30
(Accuracy metric)
EFaR 2023: Efficient Face Recognition Competition
To drive further development of efficient face recognition models, the submitted solutions are ranked based on a weighted score of the achieved verification accuracies on a diverse set of benchmarks, as well as the deployability given by the number of floating-point operations and model size.
EdgeFace: Efficient Face Recognition Model for Edge Devices
In this paper, we present EdgeFace, a lightweight and efficient face recognition network inspired by the hybrid architecture of EdgeNeXt.
Ranked #1 on
Lightweight Face Recognition
on CFP-FP
Benchmarking of Cancelable Biometrics for Deep Templates
In this paper, we benchmark several cancelable biometrics (CB) schemes on different biometric characteristics.
Template Inversion Attack against Face Recognition Systems using 3D Face Reconstruction
Then, the extracted templates are stored in the system's database during the enrollment stage and are later used for recognition.
MLP-Hash: Protecting Face Templates via Hashing of Randomized Multi-Layer Perceptron
Applications of face recognition systems for authentication purposes are growing rapidly.
