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Kernelized Memory Network for Video Object Segmentation
[article]
2020
arXiv
pre-print
Semi-supervised video object segmentation (VOS) is a task that involves predicting a target object in a video when the ground truth segmentation mask of the target object is given in the first frame. Recently, space-time memory networks (STM) have received significant attention as a promising solution for semi-supervised VOS. However, an important point is overlooked when applying STM to VOS. The solution (STM) is non-local, but the problem (VOS) is predominantly local. To solve the mismatch
arXiv:2007.08270v1
fatcat:wok63aux3rd7bclhlvjozo6pqu