all AI news
AU-Supervised Convolutional Vision Transformers for Synthetic Facial Expression Recognition. (arXiv:2207.09777v1 [cs.CV])
July 21, 2022, 1:12 a.m. | Shuyi Mao, Xinpeng Li, Junyao Chen, Xiaojiang Peng
cs.CV updates on arXiv.org arxiv.org
The paper describes our proposed methodology for the six basic expression
classification track of Affective Behavior Analysis in-the-wild (ABAW)
Competition 2022. In Learing from Synthetic Data(LSD) task, facial expression
recognition (FER) methods aim to learn the representation of expression from
the artificially generated data and generalise to real data. Because of the
ambiguous of the synthetic data and the objectivity of the facial Action Unit
(AU), we resort to the AU information for performance boosting, and make
contributions as follows. …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead Data Engineer
@ WorkMoney | New York City, United States - Remote