Early Fusion with Contrastive Learning: A Lightweight Alternative for Multi-modal Classification
This work proposes a simple yet effective lightweight framework explicitly designed for multimodal classification tasks, utilising the early fusion method combined with a contrastive learning approach, which achieves performance comparable to the most competitive heavyweight state-of-the-art models and even outperforms...