Language Models for Image Captioning: The Quirks and What Works-Reference-Cited by-同舟云学术

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Language Models for Image Captioning: The Quirks and What Works

Published:2015 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
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Author:

Devlin Jacob,Cheng Hao,Fang Hao,Gupta Saurabh,Deng Li,He Xiaodong,Zweig Geoffrey,Mitchell Margaret

Publisher

Association for Computational Linguistics

Cited by 74 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Look and Review, Then Tell: Generate More Coherent Paragraphs from Images by Fusing Visual and Textual Information;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Görme engelliler için nesne tanıma ve resim altyazısını derin öğrenme teknikleriyle entegre eden verimli bir aktivite tanıma modeli;Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi;2024-05-20

3. Weakly supervised grounded image captioning with semantic matching;Applied Intelligence;2024-03

4. Image captioning using deep learning and python;i-manager’s Journal on Software Engineering;2024

5. A Comparative Study on Deep CNN Visual Encoders for Image Captioning;Communications in Computer and Information Science;2024

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