Transform and tell: Entity-aware news image captioning

A Tran, A Mathews, L Xie - … of the IEEE/CVF conference on …, 2020 - openaccess.thecvf.com
We propose an end-to-end model which generates captions for images embedded in news
articles. News images present two key challenges: they rely on real-world knowledge …
被引用次数：100 相关文章
[PDF] archive.org

[PDF][PDF] Transform and Tell: Entity-Aware News Image Captioning

A Tran, A Mathews, L Xie - scholar.archive.org
We propose an end-to-end model which generates captions for images embedded in news
articles. News images present two key challenges: they rely on real-world knowledge …

Transform and Tell: Entity-Aware News Image Captioning

A Tran, A Mathews, L Xie - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
We propose an end-to-end model which generates captions for images embedded in news
articles. News images present two key challenges: they rely on real-world knowledge …

Transform and Tell: Entity-Aware News Image Captioning

A Tran, A Mathews, L Xie - 2020 IEEE/CVF Conference on …, 2020 - ieeexplore.ieee.org
We propose an end-to-end model which generates captions for images embedded in news
articles. News images present two key challenges: they rely on real-world knowledge …
[PDF] thecvf.com

[PDF][PDF] Transform and Tell: Entity-Aware News Image Captioning

A Tran, A Mathews, L Xie - openaccess.thecvf.com
We propose an end-to-end model which generates captions for images embedded in news
articles. News images present two key challenges: they rely on real-world knowledge …

Transform and Tell: Entity-Aware News Image Captioning

A Tran, A Mathews, L Xie - arXiv preprint arXiv:2004.08070, 2020 - arxiv.org
We propose an end-to-end model which generates captions for images embedded in news
articles. News images present two key challenges: they rely on real-world knowledge …

Transform and Tell: Entity-Aware News Image Captioning

A Tran, A Mathews, L Xie - 2020 IEEE/CVF Conference on Computer …, 2020 - computer.org
We propose an end-to-end model which generates captions for images embedded in news
articles. News images present two key challenges: they rely on real-world knowledge …