Spatio-Temporal Video Grounding

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 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.

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

3 datasets 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

10 shown of 10 papers with code (22 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.

• Context-Guided Spatio-Temporal Video Grounding
  3 Jan 2024 2 repositories listed Syntology ran 21 of 34 samples · 13 unverified · 34 pointer-only (licence)
  The key of CG-STVG lies in two specially designed modules, including instance context generation (ICG), which focuses on discovering visual context information (in both appearance and motion) of the instance, and…
• Large-scale Pre-training for Grounded Video Caption Generation
  13 Mar 2025 1 repository listed
  We perform extensive ablations that demonstrate the importance of pre-training using our automatically annotated HowToGround1M dataset followed by fine-tuning on the manually annotated iGround dataset and validate the…
• Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding
  16 Feb 2025 1 repository listed
  Compared to existing methods leveraging zero-initialized queries, object queries in our TA-STVG, directly generated from a given video-text pair, naturally carry target-specific cues, making them adaptive and better…
• PG-Video-LLaVA: Pixel Grounding Large Video-Language Models
  22 Nov 2023 1 repository listed Syntology ran 1 of 5 samples · 4 unverified · 5 pointer-only (licence)
  Extending image-based Large Multimodal Models (LMMs) to videos is challenging due to the inherent complexity of video data.
• Guided Attention for Interpretable Motion Captioning
  11 Oct 2023 1 repository listed
  Diverse and extensive work has recently been conducted on text-conditioned human motion generation.
• What, when, and where? -- Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions
  29 Mar 2023 1 repository listed
  Spatio-temporal grounding describes the task of localizing events in space and time, e.
• Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
  27 Sep 2022 1 repository listed Syntology ran 11 of 18 samples · 7 unverified
  Spatio-Temporal video grounding (STVG) focuses on retrieving the spatio-temporal tube of a specific object depicted by a free-form textual expression.
• TubeDETR: Spatio-Temporal Video Grounding with Transformers
  30 Mar 2022 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  We consider the problem of localizing a spatio-temporal tube in a video corresponding to a given text query.
• Human-centric Spatio-Temporal Video Grounding With Visual Transformers
  10 Nov 2020 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  HC-STVG is a video grounding task that requires both spatial (where) and temporal (when) localization.
• Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
  19 Jan 2020 1 repository listed
  In this paper, we consider a novel task, Spatio-Temporal Video Grounding for Multi-Form Sentences (STVG).

Syntology lines on 5 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.