OVOS Occluded Video Object Segmentation dataset

Citation Author(s):: Bo Miao (University of Western Australia)

Mohammed Bennamoun (University of Western Australia)

Yongsheng Gao (Griffith University)

Ajmal Mian (University of Western Australia)
Submitted by:: bo miao
Last updated:: Mon, 07/18/2022 - 07:14
DOI:: 10.21227/6w7a-qq88
Data Format:: *.jpg *.txt

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Categories:

Artificial Intelligence
Computer Vision

Keywords:

video object segmentation

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Abstract

Semi-supervised video object segmentation aims to leverage the ground truth object masks given for the first frame to segment video sequences at the pixel level. OVOS is a dataset to evaluate the performance of video object segmentation under occlusions.