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Heterogeneous Face Recognition

Heterogeneous face recognition is the task of matching face images acquired from different sources (i.e., different sensors or different wavelengths) for identification or verification.

( Image credit: Pose Agnostic Cross-spectral Hallucination via Disentangling Independent Factors )

Papers

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Showing 21–30 of 36 papers

TitleStatusHype
Modality Agnostic Heterogeneous Face Recognition with Switch Style Modulators—0
Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition—0
Cross-Spectral Face Hallucination via Disentangling Independent Factors—0
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition—0
Adversarial Discriminative Heterogeneous Face Recognition—0
A NIR-to-VIS face recognition via part adaptive and relation attention module—0
A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution—0
Thermal to Visible Synthesis of Face Images using Multiple Regions—0
Towards NIR-VIS Masked Face Recognition—0
UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition—0
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