Symmetry Encoder-Decoder Network with Attention Mechanism for Fast Video Object Segmentation

Symmetry Encoder-Decoder Network with Attention Mechanism for Fast Video Object Segmentation

Semi-supervised video object segmentation (VOS) has obtained significant progress in recent years. The general purpose of VOS methods is to segment objects in video sequences provided with a single annotation in the first frame. However, many of the recent successful methods heavily fine-tune the ob...

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Bibliographic Details
Main Authors:	Mingyue Guo, Dejun Zhang, Jun Sun, Yiqi Wu
Format:	Article
Language:	English
Published:	MDPI AG 2019-08-01
Series:	Symmetry
Subjects:	video object segmentation convolutional neural network attention mechanism semi-supervised encoder-decoder
Online Access:	https://www.mdpi.com/2073-8994/11/8/1006

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