th2l / E2EMAL

End-to-End Learning Multimodal for Emotion Recognition in Video with Adaptive Loss - IEEE Multimedia 2021

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

End-to-End Learning Multimodal for Emotion Recognition in Video with Adaptive Loss

To be updated soon

V. T. Huynh, H. -J. Yang, G. -S. Lee and S. H. Kim, "End-to-End Learning for Multimodal Emotion Recognition in Video with Adaptive Loss," in IEEE MultiMedia, doi: 10.1109/MMUL.2021.3080305.

@ARTICLE{vthuynhe2emal2021,  
  author={Huynh, Van Thong and Yang, Hyung-Jeong and Lee, Guee-Sang and Kim, Soo Hyung},  
  journal={IEEE MultiMedia},   
  title={End-to-End Learning for Multimodal Emotion Recognition in Video with Adaptive Loss},   
  year={2021},  
  volume={},  
  number={},  
  pages={1-1},  
  doi={10.1109/MMUL.2021.3080305}
}

About

End-to-End Learning Multimodal for Emotion Recognition in Video with Adaptive Loss - IEEE Multimedia 2021

License:MIT License


Languages

Language:Python 98.9%Language:Shell 0.7%Language:Dockerfile 0.3%