Browse State-of-the-Art › Visual Question Answering (VQA) Split A
Visual Question Answering (VQA) Split A
5 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
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
5 shown of 5 papers with code (5 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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22 Sep 2017 7 repositories listed Syntology ran 9 of 10 samples · 1 unverified · 7 pointer-only (licence)We introduce a general-purpose conditioning method for neural networks called FiLM: Feature-wise Linear Modulation.
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20 Dec 2024 1 repository listedCompositional generalization is crucial for artificial intelligence agents to solve complex vision-language reasoning tasks.
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24 Oct 2023 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)We propose the Logic-Enhanced Foundation Model (LEFT), a unified framework that learns to ground and reason with concepts across domains with a differentiable, domain-independent, first-order logic-based program…
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1 Jan 2021 1 repository listedWe also investigate the utility of our model as an object detector on a given label set when fine-tuned in a few-shot setting.
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Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning14 Mar 2018 1 repository listed Syntology ran 0 of 8 samples · 8 unverifiedRecently, modular networks have been shown to be an effective framework for performing visual reasoning tasks.
Syntology lines on 3 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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