Real-Time Video Matting Based on RVM and Mobile ViT-Reference-Cited by-同舟云学术

Real-Time Video Matting Based on RVM and Mobile ViT

Published:2024-06-01 Issue:6 Volume:E107.D Page:792-796
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

WU Chengyu¹,QIN Jiangshan¹,LI Xiangyang²,ZHAN Ao¹,WANG Zhengqiang³

Affiliation:

1. School of Information Science and Engineering, Zhejiang Sci-Tech University

2. Southwest China Institute of Electronic Technology

3. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunication

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Link

https://www.jstage.jst.go.jp/article/transinf/E107.D/6/E107.D_2023EDL8071/_pdf

Reference20 articles.

1. [1] S. Lin, A. Ryabtsev, S. Sengupta, B. Curless, S. Seitz, and I. Kemelmacher-Shlizerman, “Real-time high-resolution background matting,” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.8758-8767, June 2021. 10.1109/cvpr46437.2021.00865

2. [2] S. Lin, L. Yang, I. Saleemi, and S. Sengupta, “Robust high-resolution video matting with temporal guidance,” 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, pp.3132-3141, Jan. 2022. 10.1109/wacv51458.2022.00319

3. [3] Z. Ke, J. Sun, K. Li, Q. Yan, and R.W.H. Lau, “Modnet: Real-time trimap-free portrait matting via objective decomposition,” Proc. 36th AAAI Conference on Artificial Intelligence, vol.36, no.1, pp.1140-1147, Feb. 2022. 10.1609/aaai.v36i1.19999

4. [4] J. Li, V. Goel, M. Ohanyan, S. Navasardyan, Y. Wei, and H. Shi, “Vmformer: End-to-end video matting with transformer,” arXiv preprint arXiv:2208.12801, 2022.

5. [5] S.N. Wadekar and A. Chaurasia, “Mobilevitv3: Mobile-friendly vision transformer with simple and effective fusion of local, global and input features,” ArXiv, vol.abs/2209.15159, 2022.