Summary of Pixels to Prose: Understanding the Art Of Image Captioning, by Hrishikesh Singh et al.
Pixels to Prose: Understanding the art of Image Captioning
by Hrishikesh Singh, Aarti Sharma, Millie Pant
First submitted to arxiv on: 28 Aug 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: 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 The paper provides a thorough review of image captioning techniques, catering to individuals entering the field of machine learning who seek a comprehensive understanding of available options. It begins with an exploration of primitive architectures and evolves to state-of-the-art approaches, dissecting the components of these architectures to provide insights into underlying mechanisms. The review also explores the application of image captioning in the medical domain, highlighting its significance in various real-world scenarios. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Image captioning is a way for machines to understand and describe images like humans do. This paper looks at different methods and techniques used for this task. It starts with simple approaches and shows how they have evolved over time into more advanced models. The paper also talks about how image captioning can be used in medicine, which is important for things like describing medical images. |
Keywords
» Artificial intelligence » Image captioning » Machine learning
