Papers with KM-BART
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation (2021.acl-long)
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| Challenge: | Existing models for visual and language understanding are not capable of multimodal reasoning. |
| Approach: | They propose a Transformer-based sequence-to-sequence model capable of reasoning about commonsense knowledge from multimodal inputs of images and texts. |
| Outcome: | The proposed model performs state-of-the-art on the Visual Commonsense Generation task. |