Summary of Why Only Text: Empowering Vision-and-language Navigation with Multi-modal Prompts, by Haodong Hong and Sen Wang and Zi Huang and Qi Wu and Jiajun Liu
Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts
by Haodong Hong, Sen Wang, Zi Huang, Qi Wu, Jiajun Liu
First submitted to arxiv on: 4 Jun 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes a new task called Vision-and-Language Navigation with Multi-modal Prompts (VLN-MP), which integrates natural language and images into instructions. This novel task addresses the limitation of traditional VLN tasks, which rely solely on textual instructions, by providing agents with more context and adaptability. The proposed benchmark includes a training-free pipeline to transform text-only prompts into multi-modal forms, diverse datasets for different downstream tasks, and a module to process image prompts seamlessly integrated with state-of-the-art VLN models. Experimental results show that incorporating visual prompts significantly boosts navigation performance on four VLN benchmarks (R2R, RxR, REVERIE, CVDN). This paper enables agents to navigate in the pre-explore setting and outperform text-based models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine you’re trying to give directions to someone. You might say “go straight” or “turn left.” But sometimes, words alone aren’t enough, and a picture can help clarify what you mean. This paper proposes a new way of giving directions that combines words with images. Instead of just saying “go straight,” you could show an image of the road ahead or point to the direction you want them to go. This new approach is called Vision-and-Language Navigation with Multi-modal Prompts (VLN-MP). The researchers created a special test bed to evaluate this new method, which shows that it can help agents navigate better and make more accurate decisions. |
Keywords
» Artificial intelligence » Multi modal
