Feature Representation Learning with Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition

• Published in: Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 22086 - 22095
• Main Authors: Zhai, Zhijun, Zhao, Jianhui, Long, Chengjiang, Xu, Wenju, He, Shuangjiang, Zhao, Huijuan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2023
• Subjects: body; Feature extraction; gesture; Gold; Humans: Face; Image recognition; movement; pose; Representation learning; Self-supervised learning; Target recognition; Transformers

Micro-expressions are spontaneous, rapid and subtle facial movements that can neither be forged nor suppressed. They are very important nonverbal communication clues, but are transient and of low intensity thus difficult to recognize. Recently deep learning based methods have been developed for micr...