Papers with vision-and-language (
Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language Models (2021.emnlp-main)
Copied to clipboard
| Challenge: | Existing methods for creating vision-and-language models involve structural modifications and V&L pre-training. |
| Approach: | They propose to extend a language model through structural modifications and V&L pre-training to make it inherit the capability of natural language understanding from the original language model. |
| Outcome: | The proposed method improves performance of vision-and-language models by extending pre-trained models with the same pre-training. |