Browse State-of-the-Art › Image-text Classification
Image-text Classification
7 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
7 shown of 7 papers with code (13 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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29 Oct 2024 1 repository listedThis thesis explores how quantum computational methods can enhance the compositional modeling of language through multimodal data integration.
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21 Jul 2023 1 repository listedWe demonstrate the utility of GIST by fine-tuning vision-language models on the image-and-generated-text pairs to learn an aligned vision-language representation space for improved classification.
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16 May 2023 1 repository listedMultimodal learning aims to imitate human beings to acquire complementary information from multiple modalities for various downstream tasks.
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17 Feb 2023 1 repository listedMedical vision-and-language pre-training (Med-VLP) has shown promising improvements on many downstream medical tasks owing to its applicability to extracting generic representations from medical images and texts.
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23 Jan 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverifiedReal-world data generation often involves complex inter-dependencies among instances, violating the IID-data hypothesis of standard learning paradigms and posing a challenge for uncovering the geometric structures for…
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17 Nov 2022 1 repository listedWe introduce GLAMI-1M: the largest multilingual image-text classification dataset and benchmark.
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30 Dec 2021 1 repository listedExperimental results show that our system not only adapts well to, but also draws on the varying contexts, delivering a practical and efficient solution to edge-cloud model training.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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