  Video panoptic segmentation is an advanced task that extends panoptic
segmentation by applying its concept to video sequences. In the hope of
addressing the challenge of video panoptic segmentation in diverse conditions,
We utilize DVIS++ as our baseline model and enhance it by introducing a
comprehensive approach centered on the query-wise ensemble, supplemented by
additional techniques. Our proposed approach achieved a VPQ score of 57.01 on
the VIPSeg test set, and ranked 3rd in the VPS track of the 3rd Pixel-level
Video Understanding in the Wild Challenge.
