Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video

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Abstract:

In this paper, we study the problem of weakly-supervised temporal grounding of sentence in video. Specifically, given an untrimmed video and a query sentence, our goal is to localize a temporal segment in the video that semantically corresponds to the query sentence, with no reliance on any temporal annotation during training. We propos...More

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