Hierarchical and Multimodal Classification of Images from Soil Remediation Reports-Reference-Cited by-同舟云学术

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Hierarchical and Multimodal Classification of Images from Soil Remediation Reports

Published:2021 Issue: Volume: Page:160-175
ISSN:0302-9743
Container-title:Document Analysis and Recognition – ICDAR 2021
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Author:

Rysbayeva Korlan,Giot Romain,Journet Nicholas

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86549-8_11

Reference33 articles.

1. Aly, R., Remus, S., Biemann, C.: Hierarchical multi-label classification of text with capsule networks. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pp. 323–330 (2019)

2. Baker, S., Korhonen, A.L.: Initializing neural networks for hierarchical multi-label text classification. In: Proceedings of the BioNLP Workshop, pp. 307–315 (2017)

3. Banerjee, S., Akkaya, C., Perez-Sorrosal, F., Tsioutsiouliklis, K.: Hierarchical transfer learning for multi-label text classification. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 6295–6300 (2019)

4. Cho, K., et al.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1724–1734, October 2014

5. Clark, C., Divvala, S.: PDFFigures 2.0: mining figures from research papers. In: 2016 IEEE/ACM Joint Conference on Digital Libraries, pp. 143–152. IEEE (2016)

Cited by 1 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. Graph-Based Analysis of Hierarchical Embedding Generated by Deep Neural Network;Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges;2023

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