We propose a novel guided interactive segmentation (GIS) algorithm for video objects to improve the segmentation accuracy and reduce the interaction time. First, we design the reliability-based attention module to analyze the reliability of multiple annotated frames. Second, we develop the intersection-aware propagation module to propagate segmentation results to neighboring frames. Third, we introduce the GIS mechanism for a user to select unsatisfactory frames quickly with less effort. Experimental results demonstrate that the proposed algorithm provides more accurate segmentation results at a faster speed than conventional algorithms. Codes are available at https://github.com/yuk6heo/GIS-RAmap.
@article{arxiv.2104.10386,
title = {Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps},
author = {Yuk Heo and Yeong Jun Koh and Chang-Su Kim},
journal= {arXiv preprint arXiv:2104.10386},
year = {2021}
}