English

Attention based Memory video portrait matting

Computer Vision and Pattern Recognition 2022-03-22 v2 Machine Learning

Abstract

We proposed a novel trimap free video matting method based on the attention mechanism. By the nature of the problem, most existing approaches use either multiple computational expansive modules or complex algorithms to exploit temporal information fully. We designed a temporal aggregation module to compute the temporal coherence between the current frame and its two previous frames.

Keywords

Cite

@article{arxiv.2203.06890,
  title  = {Attention based Memory video portrait matting},
  author = {Shufeng Song},
  journal= {arXiv preprint arXiv:2203.06890},
  year   = {2022}
}

Comments

12 pages, 6 figures

R2 v1 2026-06-24T10:11:57.086Z