Summary of A Survey Of Multimodal Composite Editing and Retrieval, by Suyan Li et al.
A Survey of Multimodal Composite Editing and Retrieval
by Suyan Li, Fuxiang Huang, Lei Zhang
First submitted to arxiv on: 9 Sep 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Information Retrieval (cs.IR); Multimedia (cs.MM)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| 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 presents a comprehensive survey on multimodal composite retrieval, which integrates diverse modalities such as text, image, and audio to provide personalized and contextually relevant results. The survey covers various aspects of multimodal composite editing and retrieval, including application scenarios, methods, benchmarks, experiments, and future directions. This study is a timely complement to existing reviews in the field, particularly in light of recent advancements in multimodal learning and vision-language models with transformers. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Multimodal composite retrieval is an exciting area of research that aims to improve information retrieval systems by combining different data types. The survey provides a detailed overview of this field, including its applications, methods, and future directions. By understanding the current state of multimodal composite retrieval, researchers can better navigate this rapidly evolving space. |
