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 76–100 of 144 papers

TitleStatusHype
Toward Open-Set Face Recognition—0
Towards On-Device Face Recognition in Body-worn Cameras—0
Towards Privacy-Preserving Neural Architecture Search—0
Twin identification over viewpoint change: A deep convolutional neural network surpasses humans—0
Unconstrained Face Detection and Open-Set Face Recognition Challenge—0
Understanding Unconventional Preprocessors in Deep Convolutional Neural Networks for Face Identification—0
Unified Representation Learning for Cross Model Compatibility—0
Unique Identification of Macaques for Population Monitoring and Control—0
Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network—0
VideoClusterNet: Self-Supervised and Adaptive Face Clustering For Videos—0
Watch Out for the Confusing Faces: Detecting Face Swapping with the Probability Distribution of Face Identification Models—0
Weakly Supervised Face and Whole Body Recognition in Turbulent Environments—0
Web-Scale Training for Face Identification—0
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition—0
Active Self-Paced Learning for Cost-Effective and Progressive Face Identification—0
Glasses Detection Using Convolutional Neural Networks—0
GoDP: Globally optimized dual pathway system for facial landmark localization in-the-wild—0
Grassmannian learning mutual subspace method for image set recognition—0
Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data—0
HyperCam: Low-Power Onboard Computer Vision for IoT Cameras—0
Improved Eigenfeature Regularization for Face Identification—0
Inclusive normalization of face images to passport format—0
Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification—0
Joint Registration and Representation Learning for Unconstrained Face Identification—0
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation—0
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