MKE: A Lightweight Framework for Multimodal Knowledge Extraction via Knowledge Distillation
Multimodal knowledge extraction has become increasingly important for applications that require compact and informative representations of text-image data, yet existing models often remain computationally expensive for practical use. To address this issue, we propose MKE, a lightweight framework for multimodal knowledg...