An automatic quality evaluator for video object segmentation masks-Reference-Cited by-同舟云学术

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An automatic quality evaluator for video object segmentation masks

Published:2022-05 Issue: Volume:194 Page:111003
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Cheng Jingchun^ORCID,Song Jiajie,Xiong Rui,Pan Xiong,Zhang Chunxi

Funder

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference75 articles.

1. Dystab: Unsupervised object segmentation via dynamic-static bootstrapping*;Yang,2021

2. Making a case for 3D convolutions for object segmentation in videos;Mahadevan;ArXiv,2020

3. A benchmark dataset and evaluation methodology for video object segmentation;Perazzi,2016

4. Segflow: Joint learning for video object segmentation and optical flow;Cheng,2017

5. Premvos: Proposal-generation, refinement and merging for video object segmentation;Luiten,2018

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