论文标题
用于动作单元检测的多标签类平衡算法
Multi-Label Class Balancing Algorithm for Action Unit Detection
论文作者
论文摘要
孤立的面部运动，所谓的动作单位，可以描述组合的情绪或诸如疼痛之类的身体状态。由于数据集是有限的并且大多是不平衡的，因此我们提出了一种包含多标签类平衡算法的方法。该提交的内容遵守IEEE面对面和手势识别的IEEE会议上的情感行为分析（ABAW）挑战的行动单位检测任务。
Isolated facial movements, so-called Action Units, can describe combined emotions or physical states such as pain. As datasets are limited and mostly imbalanced, we present an approach incorporating a multi-label class balancing algorithm. This submission is subject to the Action Unit detection task of the Affective Behavior Analysis in-the-wild (ABAW) challenge at the IEEE Conference on Face and Gesture Recognition 2020.
