  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.
