Summary of Voila-a: Aligning Vision-language Models with User’s Gaze Attention, by Kun Yan et al.
Voila-A: Aligning Vision-Language Models with User’s Gaze Attention
by Kun Yan, Lei Ji, Zeyu Wang, Yuntao Wang, Nan Duan, Shuai Ma
First submitted to arxiv on: 22 Dec 2023
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)
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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 This paper introduces a novel approach to enhancing Vision-Language Models (VLMs) by incorporating gaze information from augmented reality (AR) or virtual reality (VR) devices. The authors propose Voila-A, which aligns model attention with human gaze patterns to improve the interpretability and effectiveness of VLMs in real-world applications. The paper demonstrates that gaze data can be used as a proxy for human attention by collecting hundreds of minutes of gaze data and designing an automatic annotation pipeline using GPT-4. The authors also innovate Voila Perceiver modules to integrate gaze information into VLMs while preserving their pretrained knowledge. Experimental results show that Voila-A outperforms baseline models on a hold-out validation set and a newly collected testset. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps artificial intelligence (AI) understand how humans see things by using special devices like augmented reality (AR) or virtual reality (VR). Right now, AI can’t always focus on the right parts of an image. The researchers created a new way to make AI models pay attention to what’s important by using gaze data from these devices. They showed that this approach works well in real-life scenarios and could improve how people interact with AI in many areas. |
Keywords
* Artificial intelligence * Attention * Gpt
