From Show to Tell: A Survey on Deep Learning-Based Image Captioning

University of Modena and Reggio Emilia

PubMed
Indexed incrossrefpubmed

Abstract

Connecting Vision and Language plays an essential role in Generative Intelligence. For this reason, large research efforts have been devoted to image captioning, i.e. describing images with syntactically and semantically meaningful sentences. Starting from 2015 the task has generally been addressed with pipelines composed of a visual encoder and a language model for text generation. During these years, both components have evolved considerably through the exploitation of object regions, attributes, the introduction of multi-modal connections, fully-attentive approaches, and BERT-like early-fusion strategies. However, regardless of the impressive results, research in image captioning has not reached a…

Citation impact

339
total citations
FWCI
32.78
Percentile
100%
References
357
Citations per year

Authors

6

Topics & keywords

Keywords
  • Closed captioning
  • Computer science
  • Artificial intelligence
  • Natural language processing
  • Natural language
  • Generative grammar
  • Task (project management)
  • Visualization
UN Sustainable Development Goals
  • Quality Education
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