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
Leveraging the Power of Gabor Phase for Face Identification: A Block Matching Approach—0
LLMs in Political Science: Heralding a New Era of Visual Analysis—0
On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques—0
M^2 Deep-ID: A Novel Model for Multi-View Face Identification Using Convolutional Deep Neural Networks—0
MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis—0
Meet-in-the-middle: Multi-scale upsampling and matching for cross-resolution face recognition—0
Memory Based Online Learning of Deep Representations from Video Streams—0
Modeling biological face recognition with deep convolutional neural networks—0
Multi-Metric Evaluation of Thermal-to-Visual Face Recognition—0
Nested Learning For Multi-Granular Tasks—0
Neural Aggregation Network for Video Face Recognition—0
Open-set Face Recognition using Ensembles trained on Clustered Data—0
Pairwise Relational Networks for Face Recognition—0
Pairwise Relational Networks using Local Appearance Features for Face Recognition—0
Pooling Faces: Template based Face Recognition with Pooled Face Images—0
Primate Face Identification in the Wild—0
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase—0
Reconstructing A Large Scale 3D Face Dataset for Deep 3D Face Identification—0
ReFace: Real-time Adversarial Attacks on Face Recognition Systems—0
Ring loss: Convex Feature Normalization for Face Recognition—0
Group-level Emotion Recognition using Transfer Learning from Face IdentificationCode0
Git Loss for Deep Face RecognitionCode0
Multicolumn Networks for Face RecognitionCode0
Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face RecognitionCode0
Robust and Low-Rank Representation for Fast Face Identification with OcclusionsCode0
Improvising the Learning of Neural Networks on Hyperspherical ManifoldCode0
A Light CNN for Deep Face Representation with Noisy LabelsCode0
Network In NetworkCode0
ProxyFusion: Face Feature Aggregation Through Sparse ExpertsCode0
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task LearningCode0
LAD-RCNN:A Powerful Tool for Livestock Face Detection and NormalizationCode0
Large Scale Correlation Clustering OptimizationCode0
One-shot Face Recognition by Promoting Underrepresented ClassesCode0
Learning Unified Representations for Multi-Resolution Face RecognitionCode0
Deep Learning Face Representation from Predicting 10,000 ClassesCode0
SphereFace: Deep Hypersphere Embedding for Face RecognitionCode0
VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face RecognitionCode0
CamPro: Camera-based Anti-Facial RecognitionCode0
Deep Learning Face Representation by Joint Identification-VerificationCode0
FacePoseNet: Making a Case for Landmark-Free Face AlignmentCode0
Measuring Hidden Bias within Face Recognition via Racial PhenotypesCode0
DeepID3: Face Recognition with Very Deep Neural NetworksCode0
A Supervised Learning Methodology for Real-Time Disguised Face Recognition in the WildCode0
Pose-Robust Face Recognition via Deep Residual Equivariant MappingCode0
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