论文标题
YouTube-Vis长视频挑战2022的亚军解决方案
The Runner-up Solution for YouTube-VIS Long Video Challenge 2022
论文作者
论文摘要
该技术报告描述了我们针对ECCV 2022 YouTube-Vis-Vis长期视频挑战的第二部分解决方案。我们为此挑战采用了先前建议的在线视频实例细分方法偶像。此外，我们使用伪标签来进一步帮助对比度学习，以获取更具时间一致的实例嵌入以提高框架之间的跟踪性能。所提出的方法在YouTube-Vis 2022长视频数据集上获得40.2 AP，并在此挑战中排名第二。我们希望我们的简单有效的方法可以使进一步的研究受益。
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.
