Browse State-of-the-Art › Moment Retrieval
Moment Retrieval
76 papers with code · 2 benchmarks · 6 datasets archive 2025-07-28
Moment retrieval can de defined as the task of "localizing moments in a video given a user query".
Description from: QVHIGHLIGHTS: Detecting Moments and Highlights in Videos via Natural Language Queries
Image credit: QVHIGHLIGHTS: Detecting Moments and Highlights in Videos via Natural Language Queries
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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| QVHighlights (32 rows) | SG-DETR (w/ PT) | Saliency-Guided DETR for Moment Retrieval and Highlight Detection | code | — | Compare |
| Charades-STA (25 rows) | SG-DETR (w/ PT) | Saliency-Guided DETR for Moment Retrieval and Highlight Detection | 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
6 datasets 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.
Most implemented papers archive 2025-07-28
30 shown of 76 papers with code (132 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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20 Jul 2021 4 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 1 pointer-only (licence)Each video in the dataset is annotated with: (1) a human-written free-form NL query, (2) relevant moments in the video w.
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23 Mar 2022 3 repositories listedFinding relevant moments and highlights in videos according to natural language queries is a natural and highly valuable common need in the current video content explosion era.
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1 May 2020 3 repositories listed Syntology ran 5 of 13 samples · 8 unverified · 8 pointer-only (licence)We present HERO, a novel framework for large-scale video+language omni-representation learning.
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22 Mar 2024 2 repositories listedWe introduce InternVideo2, a new family of video foundation models (ViFM) that achieve the state-of-the-art results in video recognition, video-text tasks, and video-centric dialogue.
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15 Nov 2023 2 repositories listed Syntology ran 2 of 11 samples · 9 unverified · 11 pointer-only (licence)Dummy tokens conditioned by text query take portions of the attention weights, preventing irrelevant video clips from being represented by the text query.
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24 Jan 2020 2 repositories listed Syntology ran 8 of 19 samples · 11 unverifiedThe queries are also labeled with query types that indicate whether each of them is more related to video or subtitle or both, allowing for in-depth analysis of the dataset and the methods that built on top of it.
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30 Jul 2019 2 repositories listed Syntology ran 0 of 11 samples · 11 unverifiedWe evaluate our approach on two recently proposed datasets for temporal localization of moments in video with natural language (DiDeMo and Charades-STA) extended to our video corpus moment retrieval setting.
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9 Mar 2025 1 repository listedTemporal localization in untrimmed videos, which aims to identify specific timestamps, is crucial for video understanding but remains challenging.
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12 Feb 2025 1 repository listedVideo Moment Retrieval is a common task to evaluate the performance of visual-language models - it involves localising start and end times of moments in videos from query sentences.
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18 Jan 2025 1 repository listedExisting models usually first use contrastive learning methods to align video and text features, then fuse and extract multimodal information, and finally use a Transformer Decoder to decode multimodal information.
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9 Jan 2025 1 repository listedRetrieved segments are then merged into coarse-grained moment proposals.
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5 Jan 2025 1 repository listed Syntology ran 8 of 10 samples · 2 unverified · 10 pointer-only (licence)In this paper, we present a novel Video Context-aware Keyword Attention module that overcomes this limitation by capturing keyword variation within the context of the entire video.
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1 Jan 2025 1 repository listedWe identify three critical challenges: (C1) insufficient quantitative representation of textual numerical data, (C2) repetitive and degraded response templates for spatiotemporal referencing, and (C3) loss of visual…
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1 Jan 2025 1 repository listedVideo moment retrieval aims to locate specific moments from a video according to the query text.
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30 Dec 2024 1 repository listedVideo Moment Retrieval (MR) aims to localize moments within a video based on a given natural language query.
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18 Dec 2024 1 repository listed Syntology ran 2 of 13 samples · 11 unverified · 13 pointer-only (licence)For short-moment retrieval, FlashVTG increases mAP to 125% of previous SOTA performance.
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2 Dec 2024 1 repository listedVideo Highlight Detection and Moment Retrieval (HD/MR) are essential in video analysis.
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1 Dec 2024 1 repository listedTo support this, we introduce Video Moment Retrieval Pretraining (Vid-Morp), a large-scale dataset collected with minimal human intervention, consisting of over 50K videos captured in the wild and 200K pseudo…
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21 Nov 2024 1 repository listedHowever, long video processing and precise moment retrieval remain challenging due to LLMs' limited context size and coarse frame extraction.
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15 Nov 2024 1 repository listed Syntology ran 1 of 11 samples · 10 unverifiedVideo Large Language Models (Vid-LLMs) have made remarkable advancements in comprehending video content for QA dialogue.
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25 Oct 2024 1 repository listed Syntology ran 3 of 6 samples · 3 unverifiedThis paper proposes TimeSuite, a collection of new designs to adapt the existing short-form video MLLMs for long video understanding, including a simple yet efficient framework to process long video sequence, a…
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11 Oct 2024 1 repository listedIn this paper, we propose a more challenging fine-grained VCMR benchmark requiring methods to localize the best-matched moment from the corpus with other partially matched candidates.
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2 Oct 2024 1 repository listedCombined with the introduced Saliency-Guided Cross Attention mechanism and a hybrid DETR architecture, our approach significantly enhances performance in both moment retrieval and highlight detection tasks.
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27 Sep 2024 1 repository listedGuiding users through complex procedural plans is an inherently multimodal task in which having visually illustrated plan steps is crucial to deliver an effective plan guidance.
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24 Sep 2024 1 repository listedAdditionally, we provide manually annotated datasets to properly measure the effectiveness and robustness of our methods on real data.
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6 Aug 2024 1 repository listed Syntology ran 5 of 11 samples · 6 unverifiedLighthouse addresses these issues by implementing a unified reproducible codebase that includes six models, three features, and five datasets.
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21 Jul 2024 1 repository listed Syntology ran 5 of 11 samples · 6 unverifiedThrough a feasibility study, we demonstrate that LLM encoders effectively refine inter-concept relations in multimodal embeddings, even without being trained on textual embeddings.
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9 Jul 2024 1 repository listedTo facilitate research in RVMR, we develop the TVR-Ranking dataset, based on the raw videos and existing moment annotations provided in the TVR dataset.
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6 Jul 2024 1 repository listed Syntology ran 9 of 13 samples · 4 unverified · 13 pointer-only (licence)Temporal grounding, also known as video moment retrieval, aims at locating video segments corresponding to a given query sentence.
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26 Jun 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedWe achieve a new state-of-the-art in moment retrieval on the widely used benchmarks Charades-STA, QVHighlights, and ActivityNet Captions.
Syntology lines on 13 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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