Temporal Sentence Grounding

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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

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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

16 shown of 16 papers with code (43 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.

• Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
  10 Sep 2021 2 repositories listed
  Instead, from a perspective on temporal grounding as a metric-learning problem, we present a Mutual Matching Network (MMN), to directly model the similarity between language queries and video moments in a joint…
• DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos
  22 May 2025 1 repository listed
  The approach taken by existing methods of dividing video into clips and processing each clip via a full-scale expert encoder is challenging to scale due to prohibitive computational costs of processing a large number of…
• Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
  4 Oct 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Video Large Language Models (Video-LLMs) have demonstrated remarkable capabilities in coarse-grained video understanding, however, they struggle with fine-grained temporal grounding.
• Transformer with Controlled Attention for Synchronous Motion Captioning
  13 Sep 2024 1 repository listed
  In this paper, we address a challenging task, synchronous motion captioning, that aim to generate a language description synchronized with human motion sequences.
• Diversifying Query: Region-Guided Transformer for Temporal Sentence Grounding
  31 May 2024 1 repository listed
  To tackle this limitation, we present a Region-Guided TRansformer (RGTR) for temporal sentence grounding, which diversifies moment queries to eliminate overlapped and redundant predictions.
• Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video
  15 Jan 2024 1 repository listed Syntology ran 7 of 7 samples · 0 unverified · 7 pointer-only (licence)
  Temporal Sentence Grounding in Video (TSGV) is troubled by dataset bias issue, which is caused by the uneven temporal distribution of the target moments for samples with similar semantic components in input videos or…
• Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding
  27 Dec 2023 1 repository listed
  In the weakly supervised temporal video grounding study, previous methods use predetermined single Gaussian proposals which lack the ability to express diverse events described by the sentence query.
• BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos
  30 Nov 2023 1 repository listed Syntology ran 8 of 11 samples · 3 unverified · 11 pointer-only (licence)
  This separate design allows the model to focus on desirable regions, enabling precise refinement of moment predictions.
• Learning Temporal Sentence Grounding From Narrated EgoVideos
  26 Oct 2023 1 repository listed
  Compared to traditional benchmarks on which this task is evaluated, these datasets offer finer-grained sentences to ground in notably longer videos.
• Temporal Sentence Grounding in Streaming Videos
  14 Aug 2023 1 repository listed
  The goal of TSGSV is to evaluate the relevance between a video stream and a given sentence query.
• D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
  8 Aug 2023 1 repository listed Syntology ran 13 of 17 samples · 4 unverified · 17 pointer-only (licence)
  Under this setup, we propose a Dynamic Gaussian prior based Grounding framework with Glance annotation (D3G), which consists of a Semantic Alignment Group Contrastive Learning module (SA-GCL) and a Dynamic Gaussian…
• Efficient Temporal Sentence Grounding in Videos with Multi-Teacher Knowledge Distillation
  7 Aug 2023 1 repository listed
  To tackle this problem, we propose a novel efficient multi-teacher model (EMTM) based on knowledge distillation to transfer diverse knowledge from both heterogeneous and isomorphic networks.
• Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning
  1 Jan 2022 1 repository listed
  Moreover, they train their model to distinguish positive visual-language pairs from negative ones randomly collected from other videos, ignoring the highly confusing video segments within the same video.
• Uncovering Hidden Challenges in Query-Based Video Moment Retrieval
  1 Sep 2020 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  In this paper, we present a series of experiments assessing how well the benchmark results reflect the true progress in solving the moment retrieval task.
• Span-based Localizing Network for Natural Language Video Localization
  29 Apr 2020 1 repository listed Syntology ran 1 of 8 samples · 7 unverified
  Given an untrimmed video and a text query, natural language video localization (NLVL) is to locate a matching span from the video that semantically corresponds to the query.
• Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos
  31 Oct 2019 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Temporal sentence grounding in videos aims to detect and localize one target video segment, which semantically corresponds to a given sentence.

Syntology lines on 7 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.