Summary of Collageprompt: a Benchmark For Budget-friendly Visual Recognition with Gpt-4v, by Siyu Xu et al.
CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V
by Siyu Xu, Yunke Wang, Daochang Liu, Bo Du, Chang Xu
First submitted to arxiv on: 18 Mar 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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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 A recent breakthrough in generative AI, GPT-4V, has shown impressive visual recognition capabilities when taking visual prompts. However, the financial cost associated with its inference is a significant barrier to widespread adoption. To address this challenge, researchers propose a novel collage prompting task that combines multiple images into a single prompt, allowing GPT-4V to recognize multiple images simultaneously and reducing costs. The team collects a dataset of various collage prompts and evaluates their performance in GPT-4V’s visual recognition. Key findings include the impact of image arrangement on recognition accuracy, with better results achieved by grouping similar categories together. To facilitate further research, the team constructs a benchmark called CollagePrompt, which offers a platform for designing optimized collage prompts to achieve more cost-effective visual recognition with GPT-4V. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary GPT-4V is a powerful tool that can recognize images when given a prompt. However, it’s very expensive to use. Scientists came up with an idea to make it cheaper by combining multiple images into one and having the AI recognize them all at once. They tested this idea using a special dataset of mixed-up images and found some interesting things. For example, if they grouped similar pictures together, the AI did better. But if the wrong labels were next to each other, the AI got confused. To help others use this technique, the scientists created a special platform where people can design their own collage prompts to make GPT-4V more efficient. |
Keywords
» Artificial intelligence » Gpt » Inference » Prompt » Prompting
