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- W4284878889 abstract "In this technical report, we briefly introduce the solutions of our team `PKU-WICT-MIPL' for the PIC Makeup Temporal Video Grounding (MTVG) Challenge in ACM-MM 2022. Given an untrimmed makeup video and a step query, the MTVG aims to localize a temporal moment of the target makeup step in the video. To tackle this task, we propose a phrase relationship mining framework to exploit the temporal localization relationship relevant to the fine-grained phrase and the whole sentence. Besides, we propose to constrain the localization results of different step sentence queries to not overlap with each other through a dynamic programming algorithm. The experimental results demonstrate the effectiveness of our method. Our final submission ranked 2nd on the leaderboard, with only a 0.55% gap from the first." @default.
- W4284878889 created "2022-07-09" @default.
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- W4284878889 date "2022-07-06" @default.
- W4284878889 modified "2023-09-28" @default.
- W4284878889 title "Team PKU-WICT-MIPL PIC Makeup Temporal Video Grounding Challenge 2022 Technical Report" @default.
- W4284878889 doi "https://doi.org/10.48550/arxiv.2207.02687" @default.
- W4284878889 hasPublicationYear "2022" @default.
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