SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–36 of 36 papers

TitleStatusHype
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
Relational Deep Feature Learning for Heterogeneous Face Recognition—0
Shared Representation Learning for Heterogeneous Face Recognition—0
Sparse Graphical Representation based Discriminant Analysis for Heterogeneous Face Recognition—0
Prepended Domain Transformer: Heterogeneous Face Recognition without Bells and WhistlesCode0
Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance ModulationCode0
Rethinking the Domain Gap in Near-infrared Face RecognitionCode0
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.