Browse State-of-the-Art › Multi-Modal Document Classification
Multi-Modal Document Classification
4 papers with code · 0 benchmarks · 6 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
6 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
4 shown of 4 papers with code (4 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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16 Jan 2020 3 repositories listedIn recent years, natural language descriptions are used to obtain information on discriminative parts of the object.
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17 Aug 2019 2 repositories listedIn this paper, we represent documents as word co-occurrence networks and propose an application of the message passing framework to NLP, the Message Passing Attention network for Document understanding (MPAD).
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17 Dec 2020 1 repository listedThe modern digital world is becoming more and more multimodal.
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16 Jun 2020 1 repository listedThis paper presents a study showing the benefits of the EfficientNet models compared with heavier Convolutional Neural Networks (CNNs) in the Document Classification task, essential problem in the digitalization process…
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