  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.
