Dynamic Graph-Transformer with Self-Supervised Learning for Micro-Expression Recognition
Micro-expression recognition (MER) remains challenging due to extremely weak facial motions, strong locality, and the limited scale of available annotations. Existing Transformer-based methods are effective at modeling global dependencies, but they usually encode facial structure only implicitly. In contrast, graph-bas...