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 26–50 of 144 papers

TitleStatusHype
A Light CNN for Deep Face Representation with Noisy LabelsCode0
Pose-Robust Face Recognition via Deep Residual Equivariant MappingCode0
Network In NetworkCode0
Measuring Hidden Bias within Face Recognition via Racial PhenotypesCode0
VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face RecognitionCode0
One-shot Face Recognition by Promoting Underrepresented ClassesCode0
LAD-RCNN:A Powerful Tool for Livestock Face Detection and NormalizationCode0
Improvising the Learning of Neural Networks on Hyperspherical ManifoldCode0
Large Scale Correlation Clustering OptimizationCode0
CamPro: Camera-based Anti-Facial RecognitionCode0
Git Loss for Deep Face RecognitionCode0
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task LearningCode0
FacePoseNet: Making a Case for Landmark-Free Face AlignmentCode0
Facial expression and attributes recognition based on multi-task learning of lightweight neural networksCode0
Deep Learning Face Representation from Predicting 10,000 ClassesCode0
Classifying emotions and engagement in online learning based on a single facial expression recognition neural networkCode0
Facial expression and attributes recognition based on multi-task learning of lightweight neural networksCode0
Learning Unified Representations for Multi-Resolution Face RecognitionCode0
Group-level Emotion Recognition using Transfer Learning from Face IdentificationCode0
Multicolumn Networks for Face RecognitionCode0
Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face RecognitionCode0
Deep Learning Face Representation from Predicting 10,000 Classes—0
Basic Thresholding Classification—0
DeepFake Detection Based on the Discrepancy Between the Face and its Context—0
Attentional Feature-Pair Relation Networks for Accurate Face Recognition—0
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