HyperAI초신경

홈 뉴스 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Age Invariant Face Recognition On Cacdvs

평가 지표

Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Accuracy	Paper Title	Repository
OE-CNN	99.2%	Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition	-
AIM + CAFR	99.76%	Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition
LF-CNNs	98.5	Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition	-
High-Dimensional LBP	81.6	Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification	-
AIM	99.38%	Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition
DAL	99.4%	Decorrelated Adversarial Learning for Age-Invariant Face Recognition
MTLFace	99.55%	When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
DeepVisage	99.13%	DeepVisage: Making face recognition simple yet with powerful generalization skills	-
MFM-CNN	97.95%	A Light CNN for Deep Face Representation with Noisy Labels

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