{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/image-captioning","title":"Image Captioning","arxiv_id":"1805.09137","date":"2018-05-13","proceeding":null,"authors":["Vikram Mullachery","Vishal Motwani"],"abstract":"This paper discusses and demonstrates the outcomes from our experimentation\non Image Captioning. Image captioning is a much more involved task than image\nrecognition or classification, because of the additional challenge of\nrecognizing the interdependence between the objects/concepts in the image and\nthe creation of a succinct sentential narration. Experiments on several labeled\ndatasets show the accuracy of the model and the fluency of the language it\nlearns solely from image descriptions. As a toy application, we apply image\ncaptioning to create video captions, and we advance a few hypotheses on the\nchallenges we encountered.","url_abs":"http://arxiv.org/abs/1805.09137v1","url_pdf":"http://arxiv.org/pdf/1805.09137v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"image-captioning","repo_url":"https://github.com/karpathy/neuraltalk2","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-captioning","task_name":"Image Captioning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}