Video scene parsing is a long-standing challenging task in computer vision, aiming to assign pre-defined semantic labels to pixels of all frames in a given video. Compared with image semantic segmentation, this task pays more attention on studying how to adopt the temporal information to obtain higher predictive accuracy. In this report, we introduce our solution for the 1st Video Scene Parsing in the Wild Challenge, which achieves a mIoU of 57.44 and obtained the 2nd place (our team name is CharlesBLWX).
@article{arxiv.2109.00373,
title = {Memory Based Video Scene Parsing},
author = {Zhenchao Jin and Dongdong Yu and Kai Su and Zehuan Yuan and Changhu Wang},
journal= {arXiv preprint arXiv:2109.00373},
year = {2021}
}
Comments
technical report for "The 1st Video Scene Parsing in the Wild Challenge Workshop". arXiv admin note: text overlap with arXiv:2108.11819