When Age Invariant Face Recognition Meets Face Age Synthesis:A Multi Task Learning Framework 为了在人脸识别中最小化年龄变化的影响，之前的工作要么通过最小化身份和年龄相关特征之间的相关性来提取与身份相关的有区分度特征，称为年龄不变人脸识别 age invariant face recognition, A ...
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https://github.com/neverUseThisName/Decorrelated-Adversarial-Learning Decorrelated Adversarial Learning for Age-Invariant Face ...
Learning Meta Face Recognition in Unseen Domains Abstract 人脸识别系统在实际应用中往往面临未知领域，由于其泛化能力较差，导致性能不理想。例如，一个训练良好的webface数据模型不能处理 ...
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains Abstract ...
之前可以先看一下人脸识别（不确定性）- Probabilistic Face Embeddings - 1 - 论文学习 Data Uncertainty Learning in Face Recognition ...
2020 Towards Universal Representation Learning for Deep Face Recognition Abstract ...
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition https://github.com/HuangYG123/CurricularFace Abstract 作为人脸识别中的一个新兴课题 ...
Learning Face Age Progression: A Pyramid Architecture of GANs Abstract 人脸年龄发展有着两个重要的需求，即老化准确性和身份持久性，但是在文献中都 ...
GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition Abstract 在人脸识别领域中，模型学习使用更少维度的嵌入特征来区分百万级的人脸 ...
