Improving Facial Landmark Detection Accuracy and Efficiency with Knowledge Distillation

arXiv:2404.06029v1 Announce Type: new
Abstract: The domain of computer vision has experienced significant advancements in facial-landmark detection, becoming increasingly essential across various applications such as augmented reality, facial recognition, and emotion analysis. Unlike object detection or semantic segmentation, which focus on identifying objects and outlining boundaries, faciallandmark detection aims to precisely locate and track critical facial features. However, deploying deep learning-based facial-landmark detection models on embedded systems with limited computational resources poses challenges due to the complexity of facial features, …

abstract accuracy analysis applications arxiv augmented reality computer computer vision cs.cv detection distillation domain efficiency emotion facial recognition focus improving knowledge landmark object objects reality recognition segmentation semantic type vision