What is it about?
A comprehensive survey of image captioning frameworks starting directly from template based models, followed by retrieval based models to state of the art attention and transformer based models along with a slight introduction of application domains in image captioning.
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Why is it important?
For a novice researcher understanding the basic historical timeline of how image captioning frameworks evolved is combined in this single manuscript along with all the architectural advancements and explanations.
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This page is a summary of: A comprehensive survey on image captioning: from handcrafted to deep learning-based techniques, a taxonomy and open research issues, Artificial Intelligence Review, April 2023, Springer Science + Business Media,
DOI: 10.1007/s10462-023-10488-2.
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