Unsupervised Temporal Video Grounding with Deep Semantic Clustering. (arXiv:2201.05307v1 [cs.CV])

Temporal video grounding (TVG) aims to localize a target segment in a video
according to a given sentence query. Though respectable works have made decent
achievements in this task, they severely rely on abundant video-query paired
data, which is expensive and time-consuming to collect in real-world scenarios.
In this paper, we explore whether a video grounding model can be learned
without any paired annotations. To the best of our knowledge, this paper is the
first work trying to address TVG …

arxiv clustering cv semantic unsupervised video