mlsanityData to 13 Oct 2026

Lighthouse: A User-Friendly Library for Reproducible Video Moment Retrieval and Highlight Detection

arXiv 2408.02901 ↗First posted 6 Aug 2024cs.CV cs.CL cs.MMcited by 5

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Abstract (arXiv)

We propose Lighthouse, a user-friendly library for reproducible video moment retrieval and highlight detection (MR-HD). Although researchers proposed various MR-HD approaches, the research community holds two main issues. The first is a lack of comprehensive and reproducible experiments across various methods, datasets, and video-text features. This is because no unified training and evaluation codebase covers multiple settings. The second is user-unfriendly design. Because previous works use different libraries, researchers set up individual environments. In addition, most works release only the training codes, requiring users to implement the whole inference process of MR-HD. Lighthouse addresses these issues by implementing a unified reproducible codebase that includes six models, three features, and five datasets. In addition, it provides an inference API and web demo to make these methods easily accessible for researchers and developers. Our experiments demonstrate that Lighthouse generally reproduces the reported scores in the reference papers. The code is available at https://github.com/line/lighthouse.

Key facts. Cited by 5 papers in the map (data through 13 Oct 2026). Builds on 18 of its 25 references that are in the map. First posted on arXiv 6 Aug 2024.

Builds on

18 of 25 references.

References · 18

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6 more
  1. 2020Span-based Localizing Network for Natural Language Video Localizationcited by 234
  2. 2023Query-Dependent Video Representation for Moment Retrieval and Highlight Detectioncited by 166
  3. 2023Knowing Where to Focus: Event-aware Transformer for Video Groundingcited by 79
  4. 2024TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detectioncited by 59
  5. 2023Correlation-Guided Query-Dependency Calibration for Video Temporal Groundingcited by 31
  6. 2024Chrono: A Simple Blueprint for Representing Time in MLLMscited by 17

Built on by

Cited by year (2026 to 13 Oct)

Citing papers per year: 2024: 1; 2025: 3; 2026: 1.

5 papers.