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Transformer Based Image-Text Consistency Analysis for ...
University at Albany
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由 Y Chen 著作 — We present a multi-modal T5 Transformer-based method for image-text semantic consistency analysis that are tar- geted at infographic articles.
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Transformer Based Image-Text Consistency Analysis for ...
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由 Y Chen 著作2023 — We present a multi-modal T5 Transformer-based method for image-text semantic consistency analysis that are targeted at infographic articles.
Transformer Based Image-Text Consistency Analysis for ...
ResearchGate
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ResearchGate
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Infographics. Conference Paper. Transformer Based Image-Text Consistency Analysis for Infographic Articles. August 2023. DOI:10.1109/MIPR59079.2023.00023.
An image-text consistency driven multimodal sentiment ...
ResearchGate
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ResearchGate
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2024年10月22日 — Transformer Based Image-Text Consistency Analysis for Infographic Articles. Conference Paper. Aug 2023. Yuwei Chen · Ming-Ching ...
2023 IEEE 6th International Conference on Multimedia ...
Proceedings.com
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Proceedings.com
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Transformer Based Image-Text Consistency Analysis for Infographic Articles. 47. Yuwei Chen (University at Albany, State University of New York, USA) and Ming ...
Swin-chart: An efficient approach for chart classification
ScienceDirect.com
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ScienceDirect.com
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由 A Dhote 著作2024被引用 1 次 — In this paper, we propose Swin-Chart, a Swin transformer-based deep learning approach for chart classification, which generalizes well across multiple datasets.
2023 IEEE 6th International Conference on Multimedia ...
IEEE Computer Society
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2023年8月30日 — Transformer Based Image-Text Consistency Analysis for Infographic Articles pp. 47-52. Improving Detection of Diabetic Retinopathy in Low ...
arXiv:2307.04147v1 [cs.CV] 9 Jul 2023
arXiv
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arXiv
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由 A Dhote 著作2023被引用 7 次 — Vision transformer has outperformed CNN-based models in these tasks on the ImageNet dataset. However, there has not been widespread application ...
Is a picture worth a thousand words? Understanding the ...
ScienceDirect.com
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ScienceDirect.com
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由 H Li 著作2022被引用 67 次 — This study investigates the impacts of restaurant review photo sentiment on customers' perceived review usefulness and enjoyment using deep learning and ...