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

25 Jan 2020 Zhenfang Chen Lin Ma Wenhan Luo Peng Tang Kwan-Yee K. Wong

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... (read more)

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