Summary of 2dp-2mrc: 2-dimensional Pointer-based Machine Reading Comprehension Method For Multimodal Moment Retrieval, by Jiajun He et al.
2DP-2MRC: 2-Dimensional Pointer-based Machine Reading Comprehension Method for Multimodal Moment Retrieval
by Jiajun He, Tomoki Toda
First submitted to arxiv on: 10 Jun 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a novel machine learning model, called 2-Dimensional Pointer-based Machine Reading Comprehension for Moment Retrieval Choice (2DP-2MRC), to improve the accuracy of moment retrieval in untrimmed videos. The proposed approach combines coarse-grained information from both moment and video levels using an AV-Encoder, along with a 2D pointer encoder module for boundary detection. This model is designed to address the limitations of existing clip-based methods, which often underperform compared to moment-based models due to overlooking coarse-grained information. The authors demonstrate the effectiveness of their approach through extensive experiments on the HiREST dataset, achieving significant improvements over baseline models. Keywords: moment retrieval, machine reading comprehension, video analysis, pointer-based model. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine trying to find a specific moment in a long video based on what someone is saying. This paper presents a new way to do this, called 2DP-2MRC, which uses information from both the moment you’re looking for and the entire video. The method is better than others at finding the right moment because it considers more information. The researchers tested their approach using a large dataset of videos and showed that it works much better than other methods. |
Keywords
» Artificial intelligence » Encoder » Machine learning