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Age Invariant Face Recognition On Cacdvs

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name
Accuracy
Paper TitleRepository
OE-CNN99.2%Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition-
AIM + CAFR99.76%Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition
LF-CNNs98.5Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition-
High-Dimensional LBP81.6Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification-
AIM99.38%Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition
DAL99.4%Decorrelated Adversarial Learning for Age-Invariant Face Recognition
MTLFace99.55%When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
DeepVisage99.13%DeepVisage: Making face recognition simple yet with powerful generalization skills-
MFM-CNN97.95%A Light CNN for Deep Face Representation with Noisy Labels
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