  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.
