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This technical report describes our 2nd-place solution for the ECCV 2022YouTube-VIS Long Video Challenge. We adopt the previously proposed online videoinstance segmentation method IDOL for this challenge. In addition, we usepseudo labels to further help contrastive learning, so as to obtain moretemporally consistent instance embedding to improve tracking performancebetween frames. The proposed method obtains 40.2 AP on the YouTube-VIS 2022long video dataset and was ranked second place in this challenge. We hope oursimple and effective method could benefit further research.

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