Text-guided Weakly Supervised Framework for Dynamic Facial Expression Recognition

- The TG-DFER framework has been introduced to tackle the many-to-one labeling problem in dynamic facial expression recognition (DFER), enhancing the ability to identify emotions from video sequences. This framework utilizes a vision-language pre-trained model to provide semantic guidance, which is crucial for improving the accuracy of emotion recognition in complex scenarios. The development of TG-DFER is significant as it represents a step forward in addressing the inherent challenges of DFER, particularly in achieving better generalization and interpretability, which are essential for practical applications.