Browse State-of-the-Art › Language-Based Temporal Localization
Language-Based Temporal Localization
6 papers with code · 1 benchmark · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| VidChapters-7M (2 rows) | ReVisionLLM | ReVisionLLM: Recursive Vision-Language Model for Temporal... | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
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
6 shown of 6 papers with code (6 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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21 Nov 2018 3 repositories listedPrevious methods address the problem by considering features from video sliding windows and language queries and learning a subspace to encode their correlation, which ignore rich semantic cues about activities in…
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22 Nov 2024 1 repository listedWe propose ReVisionLLM, a recursive vision-language model designed to locate events in hour-long videos.
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Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding29 Jul 2022 1 repository listed Syntology ran 10 of 11 samples · 1 unverified · 11 pointer-only (licence)Our framework introduces two auxiliary tasks, cross-modal matching and temporal order discrimination, to promote the grounding model training.
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30 Mar 2022 1 repository listed Syntology ran 3 of 3 samples · 0 unverifiedWe consider the problem of localizing a spatio-temporal tube in a video corresponding to a given text query.
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31 Oct 2021 1 repository listedTemporal Moment Localization (TML) in untrimmed videos is a challenging task in the field of multimedia, which aims at localizing the start and end points of the activity in the video, described by a sentence query.
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18 Jun 2020 1 repository listedWe address the problem of language-based temporal localization of moments in untrimmed videos.
Syntology lines on 2 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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