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

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

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arxiv 1907.12769 v1 pith:NWZXABY7 submitted 2019-07-30 cs.CV

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 This is my paper

classification cs.CV

keywords methodspropagation-basedapproachesempiricalobjectsegmentationvideoablation

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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.

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

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