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Understanding Guided Image Captioning Performance across Domains
Image captioning models generally lack the capability to take into accou...
12/04/2020 ∙ by Edwin G. Ng, et al. ∙
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Weakly Supervised Content Selection for Improved Image Captioning
Image captioning involves identifying semantic concepts in the scene and...
09/10/2020 ∙ by Khyathi Raghavi Chandu, et al. ∙
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Reinforcing an Image Caption Generator Using Off-Line Human Feedback
Human ratings are currently the most accurate way to assess the quality ...
11/21/2019 ∙ by Paul Hongsuck Seo, et al. ∙
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ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Increasing model size when pretraining natural language representations ...
09/26/2019 ∙ by Zhenzhong Lan, et al. ∙
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Neural Naturalist: Generating Fine-Grained Image Comparisons
We introduce the new Birds-to-Words dataset of 41k sentences describing ...
09/09/2019 ∙ by Maxwell Forbes, et al. ∙
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Quality Estimation for Image Captions Based on Large-scale Human Evaluations
Automatic image captioning has improved significantly in the last few ye...
09/08/2019 ∙ by Tomer Levinboim, et al. ∙
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Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering
Object detection plays an important role in current solutions to vision ...
09/04/2019 ∙ by Soravit Changpinyo, et al. ∙
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Informative Image Captioning with External Sources of Information
An image caption should fluently present the essential information in a ...
06/20/2019 ∙ by Sanqiang Zhao, et al. ∙
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Where The Light Gets In: Analyzing Web Censorship Mechanisms in India
This paper presents a detailed study of the Internet censorship in India...
08/06/2018 ∙ by Tarun Kumar Yadav, et al. ∙
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