论文标题
窥视峰值情绪识别
A Peek at Peak Emotion Recognition
论文作者
论文摘要
尽管在面部表情识别领域取得了很大进展，但对识别峰值情绪的认可很少。 Aviezer等。 [1]表明，人类在积极和负面情绪之间很难辨别。在这项工作中，我们分析了这一挑战的深入学习票价。我们发现（i）尽管使用了很小的数据集，但从深度学习模型中提取的功能可以比人类更好地取得成果。 （ii）我们发现，即使仅在人类标记的数据集上接受培训，在这项任务中仍然超过了人类。
Despite much progress in the field of facial expression recognition, little attention has been paid to the recognition of peak emotion. Aviezer et al. [1] showed that humans have trouble discerning between positive and negative peak emotions. In this work we analyze how deep learning fares on this challenge. We find that (i) despite using very small datasets, features extracted from deep learning models can achieve results significantly better than humans. (ii) We find that deep learning models, even when trained only on datasets tagged by humans, still outperform humans in this task.
