Team PKU-WICT-MIPL PIC Makeup Temporal Video Grounding Challenge 2022 Technical Report
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 5 of its 7 references that are in the map. First posted on arXiv 6 Jul 2022.
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References · 5
- 2017Attention Is All You Needcited by 59,932
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
- 2021CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrievalcited by 645
- 2019Simple BERT Models for Relation Extraction and Semantic Role Labelingcited by 154
- 2021Negative Sample Matters: A Renaissance of Metric Learning for Temporal Groundingcited by 90
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Citing papers per year: 2023: 1.
1 paper.