Adaptive Template and Transition Map for Real-Time Video Object Segmentation

Semi-supervised video object segmentation (semi-VOS) is required for many visual applications. This task is tracking class-agnostic objects from a given segmentation mask. Various approaches have been developed and achieved high accuracy in this field, but these previous models are hard to be utiliz...

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Detalles Bibliográficos

Autores principales:	Hyojin Park, Jayeon Yoo, Ganesh Venkatesh, Nojun Kwak
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2021-01-01
Colección:	IEEE Access
Materias:	Semi-supervised video object segmentation video object segmentation video object tracking deep learning
Acceso en línea:	https://ieeexplore.ieee.org/document/9519655/
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