mlsanityData to 7 Oct 2026

Image Captioning

arXiv 1805.09137 ↗First posted 13 May 2018cs.CV cs.AIcited by 14

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Abstract (arXiv)

This paper discusses and demonstrates the outcomes from our experimentation on Image Captioning. Image captioning is a much more involved task than image recognition or classification, because of the additional challenge of recognizing the interdependence between the objects/concepts in the image and the creation of a succinct sentential narration. Experiments on several labeled datasets show the accuracy of the model and the fluency of the language it learns solely from image descriptions. As a toy application, we apply image captioning to create video captions, and we advance a few hypotheses on the challenges we encountered.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 May 2018.

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Citing papers per year: 2021: 1; 2022: 1; 2023: 5; 2024: 4; 2025: 2; 2026: 1.

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