Papers with Image-Text Contrastive
Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks (2024.findings-eacl)
Copied to clipboard
| Challenge: | Prior work on multimodal content classification has not addressed these challenges. |
| Approach: | They propose to use two auxiliary tasks to fine-tune multimodal models to address hidden cross-modal semantics and weak image-text relationships when modeling text and images. |
| Outcome: | The proposed model improves by up to 2.6 F1 score across five diverse social media datasets. |