Dual-branch Graph Domain Adaptation for Cross-scenario Multi-modal Emotion Recognition

1. 1Develop a dual-branch graph neural network to model text, audio, and visual features
2. 2Apply domain adaptation techniques to minimize cross-scenario discrepancies
3. 3Train the model on a source domain and fine-tune on target domains for improved transferability

AI engineers and researchers working on multimodal emotion recognition tasks can benefit from this approach to improve model transferability across different conversation scenarios

💡 Dual-branch graph domain adaptation can effectively address cross-scenario variations in multimodal emotion recognition

🤖 Dual-branch graph domain adaptation boosts cross-scenario emotion recognition #AI #EmotionRecognition