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arXiv · 1907.12769

An Empirical Study of Propagation-based Methods for Video Object Segmentation

Hengkai Guo·Wenji Wang·Guanjun Guo·Huaxia Li·Jiachen Liu·Qian He·Xuefeng Xiao
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Abstract

While propagation-based approaches have achieved state-of-the-art performance for video object segmentation, the literature lacks a fair comparison of different methods using the same settings. In this paper, we carry out an empirical study for propagation-based methods. We view these approaches from a unified perspective and conduct detailed ablation study for core methods, input cues, multi-object combination and training strategies. With careful designs, our improved end-to-end memory networks achieve a global mean of 76.1 on DAVIS 2017 val set.

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Hengkai Guo, Wenji Wang, Guanjun Guo, Huaxia Li, Jiachen Liu, Qian He, Xuefeng Xiao. 2019-07-30. An Empirical Study of Propagation-based Methods for Video Object Segmentation. https://arxiv.org/abs/1907.12769

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