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Video Narrative Grounding
2 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Video Narrative Grounding is the task of linking video narratives to specific video segments. The input is a video with a text description (the narrative) and the positions of certain nouns marked. For each marked noun, the method must output a segmentation mask for the object it refers to, in each video frame.
Source: Connecting Vision and Language with Video Localized Narratives
Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.
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
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
2 shown of 2 papers with code (3 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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13 Sep 2024 1 repository listedIn this paper, we address a challenging task, synchronous motion captioning, that aim to generate a language description synchronized with human motion sequences.
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22 Feb 2023 1 repository listed Syntology ran 0 of 4 samples · 4 unverifiedWe propose Video Localized Narratives, a new form of multimodal video annotations connecting vision and language.
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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