CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF

This paper addresses the problem of video object segmentation, where the initial object mask is given in the first frame of an input video. We propose a novel spatiotemporal Markov Random Field (MRF) model defined over pixels to handle this problem. Unlike conventional MRF models, the spatial depend...

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Bibliographic Details

Published in:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 5977 - 5986
Main Authors:	Bao, Linchao, Wu, Baoyuan, Liu, Wei
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2018
Subjects:	Approximation algorithms Benchmark testing Inference algorithms Labeling Object segmentation Random variables Task analysis
ISSN:	1063-6919
Online Access:	Get full text
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