SOTAVerified

Face Identification

Face identification is the task of matching a given face image to one in an existing database of faces. It is the second part of face recognition (the first part being detection). It is a one-to-many mapping: you have to find an unknown person in a database to find who that person is.

Papers

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Showing 101–144 of 144 papers

TitleStatusHype
Active Self-Paced Learning for Cost-Effective and Progressive Face Identification—0
Why The Brain Separates Face Recognition From Object Recognition—0
Additional Baseline Metrics for the paper "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification"—0
A Deep Dive into Dataset Imbalance and Bias in Face Identification—0
A Deep Face Identification Network Enhanced by Facial Attributes Prediction—0
A Fast and Accurate System for Face Detection, Identification, and Verification—0
A Multi-Task Comparator Framework for Kinship Verification—0
An adversarial learning framework for preserving users' anonymity in face-based emotion recognition—0
APPLICATION OF DEEP CONVOLUTIONAL NEURAL NETWORK TO PREVENT ATM FRAUD BY FACIAL DISGUISE IDENTIFICATION—0
A Reliable, Self-Adaptive Face Identification Framework via Lyapunov Optimization—0
ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks using Angle Sensitive Pixels—0
Attentional Feature-Pair Relation Networks for Accurate Face Recognition—0
Basic Thresholding Classification—0
Bidirectional Warping of Active Appearance Model—0
BWCFace: Open-set Face Recognition using Body-worn Camera—0
Classifying emotions and engagement in online learning based on a single facial expression recognition neural network—0
ClusterFace: Joint Clustering and Classification for Set-Based Face Recognition—0
CoNAN: Conditional Neural Aggregation Network For Unconstrained Face Feature Fusion—0
Conditional Convolutional Neural Network for Modality-Aware Face Recognition—0
Controlling Face's Frame generation in StyleGAN's latent space operations: Modifying faces to deceive our memory—0
Deep 3D Face Identification—0
DeepFake Detection Based on the Discrepancy Between the Face and its Context—0
Deep Learning Face Representation from Predicting 10,000 Classes—0
Demographic Fairness in Face Identification: The Watchlist Imbalance Effect—0
Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets—0
Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition—0
Disguised Face Identification (DFI) with Facial KeyPoints using Spatial Fusion Convolutional Network—0
Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study—0
Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN—0
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data—0
Efficient Verification-Based Face Identification—0
Enhancing Face Recognition With Self-Supervised 3D Reconstruction—0
Exploring Disentangled Feature Representation Beyond Face Identification—0
Face Attributes as Cues for Deep Face Recognition Understanding—0
Face-GCN: A Graph Convolutional Network for 3D Dynamic Face Identification/Recognition—0
Face Identification and Clustering—0
Face identification by means of a neural net classifier—0
Face Identification by SIFT-based Complete Graph Topology—0
Face Identification from Manipulated Facial Images using SIFT—0
Face Identification Proficiency Test Designed Using Item Response Theory—0
Face Identification using Local Ternary Tree Pattern based Spatial Structural Components—0
Face Identification with Second-Order Pooling—0
Face Prediction Model for an Automatic Age-invariant Face Recognition System—0
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks—0
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