Summary of Collaborative Hybrid Propagator For Temporal Misalignment in Audio-visual Segmentation, by Kexin Li et al.
Collaborative Hybrid Propagator for Temporal Misalignment in Audio-Visual Segmentation
by Kexin Li, Zongxin Yang, Yi Yang, Jun Xiao
First submitted to arxiv on: 11 Dec 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Machine Learning (cs.LG); Multimedia (cs.MM); Sound (cs.SD); Audio and Speech Processing (eess.AS)
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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 The paper proposes a Collaborative Hybrid Propagator Framework (Co-Prop) for Audio-visual video segmentation (AVVS). Current methods struggle with temporal misalignment between audio cues and segmentation results. Co-Prop addresses this issue by employing retrieval-assist prompts with Qwen large language models to identify control points of audio semantic changes, splitting the audio into semantically consistent portions. The framework includes two main steps: Preliminary Audio Boundary Anchoring and Frame-by-Frame Audio-Insert Propagation. Experimental results demonstrate the effectiveness of Co-Prop across three datasets and two backbones, reducing memory requirements and facilitating frame alignment. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper is about improving how computers understand audio and video together. Right now, computers have trouble matching up what they hear with what they see. To solve this problem, the authors created a new way to process audio and video called Co-Prop. It works by first identifying special points in the audio that help align it with the video. Then, it uses these points to make sure the computer is processing the audio and video correctly. The results show that Co-Prop does a better job than other methods at matching up what’s heard with what’s seen. |
Keywords
» Artificial intelligence » Alignment
