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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 51–60 of 144 papers

TitleStatusHype
Partial FC: Training 10 Million Identities on a Single MachineCode2
Taking Modality-free Human Identification as Zero-shot Learning—0
BWCFace: Open-set Face Recognition using Body-worn Camera—0
Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors—0
DeepFake Detection Based on the Discrepancy Between the Face and its Context—0
BroadFace: Looking at Tens of Thousands of People at Once for Face RecognitionCode1
Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision SensorsCode1
Unified Representation Learning for Cross Model Compatibility—0
Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data—0
Multi-Metric Evaluation of Thermal-to-Visual Face Recognition—0
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