Summary of Implicit Location-caption Alignment Via Complementary Masking For Weakly-supervised Dense Video Captioning, by Shiping Ge et al.
Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning
by Shiping Ge, Qiang Chen, Zhiwei Jiang, Yafeng Yin, Liu Qin, Ziyao Chen, Qing Gu
First submitted to arxiv on: 17 Dec 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Multimedia (cs.MM)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a novel approach to Weakly-Supervised Dense Video Captioning (WSDVC), which localizes and describes all events of interest in a video without requiring annotations of event boundaries. The method, called Complementary Masking (CM), simplifies the complex event proposal process by generating differentiable positive and negative masks for localizing events. CM consists of two components: a dual-mode video captioning module that captures global event information and generates descriptive captions, and a mask generation module that produces masks to align event locations and captions. Experimental results on public datasets show that CM outperforms existing weakly-supervised methods and achieves competitive results compared to fully-supervised methods. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary WSDVC is a way for computers to describe what’s happening in videos without needing special instructions on when certain events start or stop. This is hard because the computer doesn’t have enough information about where these events happen. To solve this problem, researchers came up with a new approach that uses “masking” to connect the words describing an event to where it happens in the video. They tested their method and found that it works better than other ways of doing this without needing special instructions. |
Keywords
» Artificial intelligence » Mask » Supervised
