Papers with Code 아카이브
Age-Invariant Face Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 4
- 보존된 평가 기록
- 16
Age-invariant face recognition is the task of performing face recognition that is invariant to differences in age.
<span style="color:grey; opacity: 0.6">( Image credit: Look Across Elapse )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Unmasking the Uniqueness: A Glimpse into Age-Invariant Face Recognition of Indigenous African Faces
Synthetic Face Ageing: Evaluation, Analysis and Facilitation of Age-Robust Facial Recognition Algorithms
Cross-Age Contrastive Learning for Age-Invariant Face Recognition
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features
ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
LIAAD: Lightweight Attentive Angular Distillation for Large-scale Age-Invariant Face Recognition
Decorrelated Adversarial Learning for Age-Invariant Face Recognition
Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition
DeepVisage: Making face recognition simple yet with powerful generalization skills
Temporal Non-Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition
Large age-gap face verification by feature injection in deep networks
A Light CNN for Deep Face Representation with Noisy Labels
Face Prediction Model for an Automatic Age-invariant Face Recognition System
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.