G-TRACE: Grouped temporal recalibration for video object segmentation-Reference-Cited by-同舟云学术

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G-TRACE: Grouped temporal recalibration for video object segmentation

Published:2024-07 Issue: Volume:147 Page:105050
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Kim Jiyun,Kim JooHo,Hong Sungeun

Funder

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Sungkyunkwan University

Institute for Information and Communications Technology Promotion

Korea Ministry of Science and ICT

Publisher

Elsevier BV

Reference67 articles.

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

2. The 2017 Davis challenge on video object segmentation;Pont-Tuset;arXiv,2017

3. Unsupervised video object segmentation with joint hotspot tracking;Zhang,2020

4. Reciprocal transformations for unsupervised video object segmentation;Ren,2021

5. Modular interactive video object segmentation: Interaction-to-mask, propagation and difference-aware fusion;Cheng,2021

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