论文标题
野外多模式情感识别的音频视频和转移学习框架
An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild
论文作者
论文摘要
在本文中，我们提出了对Abaw面部表达挑战的贡献。我们报告了拟议的系统以及遵守挑战协议的官方挑战结果。使用端到端的深度学习并从转移学习方法中受益，我们达到了42.10％的测试集挑战绩效指标。
In this paper, we present our contribution to ABAW facial expression challenge. We report the proposed system and the official challenge results adhering to the challenge protocol. Using end-to-end deep learning and benefiting from transfer learning approaches, we reached a test set challenge performance measure of 42.10%.
