articleJun 1, 2015Closed access
Show and tell: A neural image caption generator
Indexed incrossref
Abstract
Automatically describing the content of an image is a fundamental problem in artificial intelligence that connects computer vision and natural language processing. In this paper, we present a generative model based on a deep recurrent architecture that combines recent advances in computer vision and machine translation and that can be used to generate natural sentences describing an image. The model is trained to maximize the likelihood of the target description sentence given the training image. Experiments on several datasets show the accuracy of the model and the fluency of the language it learns solely from image descriptions. Our model is often quite accurate, which we verify both qualitatively and…
Citation impact
6,326
total citations
- FWCI
- 326.03
- Percentile
- 100%
- References
- 64
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- Computer science
- Pascal (unit)
- Artificial intelligence
- Fluency
- Generator (circuit theory)
- Machine translation
- Natural language processing
- Image (mathematics)
UN Sustainable Development Goals
- Quality Education
No related works found for this paper.