The Runner-up Solution for YouTube-VIS Long Video Challenge 2022

• URL: http://arxiv.org/abs/2211.09973v1
• Date: Fri, 18 Nov 2022 01:40:59 GMT
• Title: The Runner-up Solution for YouTube-VIS Long Video Challenge 2022
• Authors: Junfeng Wu, Yi Jiang, Qihao Liu, Xiang Bai, Song Bai
• Abstract summary: We adopt the previously proposed online video instance segmentation method IDOL for this challenge. We use pseudo labels to further help contrastive learning, so as to obtain more temporally consistent instance embedding. The proposed method obtains 40.2 AP on the YouTube-VIS 2022 long video dataset and was ranked second in this challenge.
• Score: 72.13080661144761
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This technical report describes our 2nd-place solution for the ECCV 2022 YouTube-VIS Long Video Challenge. We adopt the previously proposed online video instance segmentation method IDOL for this challenge. In addition, we use pseudo labels to further help contrastive learning, so as to obtain more temporally consistent instance embedding to improve tracking performance between frames. The proposed method obtains 40.2 AP on the YouTube-VIS 2022 long video dataset and was ranked second place in this challenge. We hope our simple and effective method could benefit further research.

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