Kernelized Memory Network for Video Object Segmentation

Hongje Seong
Hongje Seong

european conference on computer vision, pp. 629-645, 2020.

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Abstract:

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, a...More

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