论文标题
使用增强的面部图像来改善面部识别任务
Using Augmented Face Images to Improve Facial Recognition Tasks
论文作者
论文摘要
我们提出了一个框架，该框架使用gan agn-aigment图像来补充机器学习模型培训的某些特定属性，通常代表性不足。这使我们能够提高针对面部识别任务的属性的推理质量。
We present a framework that uses GAN-augmented images to complement certain specific attributes, usually underrepresented, for machine learning model training. This allows us to improve inference quality over those attributes for the facial recognition tasks.
