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Face Recognition
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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.
<span style="color:grey; opacity: 0.6">( Image credit: Face Verification )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Diffusion-based Adversarial Identity Manipulation for Facial Privacy Protection
DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition
SLAM-Based Navigation and Fault Resilience in a Surveillance Quadcopter with Embedded Vision Systems
ID-Booth: Identity-consistent Face Generation with Diffusion Models
Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion
Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks
Solve sparse PCA problem by employing Hamiltonian system and leapfrog method
Novel sparse PCA method via Runge Kutta numerical method(s) for face recognition
Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation
SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining
Peepers & Pixels: Human Recognition Accuracy on Low Resolution Faces
Robust face recognition based on the wing loss and the $\ell_1$ regularization
Anomaly Detection Using Computer Vision: A Comparative Analysis of Class Distinction and Performance Metrics
On-Device Federated Continual Learning on RISC-V-based Ultra-Low-Power SoC for Intelligent Nano-Drone Swarms
A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions
Exploring Disparity-Accuracy Trade-offs in Face Recognition Systems: The Role of Datasets, Architectures, and Loss Functions
AugGen: Synthetic Augmentation Can Improve Discriminative Models
Enhancing Facial Privacy Protection via Weakening Diffusion Purification
ChatGPT Encounters Morphing Attack Detection: Zero-Shot MAD with Multi-Modal Large Language Models and General Vision Models
Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks
FairDeFace: Evaluating the Fairness and Adversarial Robustness of Face Obfuscation Methods
AttFC: Attention Fully-Connected Layer for Large-Scale Face Recognition with One GPU
MSConv: Multiplicative and Subtractive Convolution for Face Recognition
AdaSin: Enhancing Hard Sample Metrics with Dual Adaptive Penalty for Face Recognition
TSDW: A Tri-Stream Dynamic Weight Network for Cloth-Changing Person Re-Identification
Simulation of prosthetic vision with PRIMA system and enhancement of face representation
SAP-DIFF: Semantic Adversarial Patch Generation for Black-Box Face Recognition Models via Diffusion Models
UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition
A Rapid Test for Accuracy and Bias of Face Recognition Technology
A Comparison of Human and Machine Learning Errors in Face Recognition
Efficient Global Neural Architecture Search
Review of Demographic Fairness in Face Recognition
UDC-VIT: A Real-World Video Dataset for Under-Display Cameras
Frequency Matters: Explaining Biases of Face Recognition in the Frequency Domain
LVFace: Large Vision model for Face Recogniton
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