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1st Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation

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arxiv 2406.07043 v1 pith:RX4KBDIL submitted 2024-06-11 cs.CV

Mingqi Gao , Jingnan Luo , Jinyu Yang , Jungong Han , Feng Zheng This is my paper · ORCID
classification cs.CV
keywords mevissegmentationsolutiontrackvideoexpressionguidedmotion
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Motion Expression guided Video Segmentation (MeViS), as an emerging task, poses many new challenges to the field of referring video object segmentation (RVOS). In this technical report, we investigated and validated the effectiveness of static-dominant data and frame sampling on this challenging setting. Our solution achieves a J&F score of 0.5447 in the competition phase and ranks 1st in the MeViS track of the PVUW Challenge. The code is available at: https://github.com/Tapall-AI/MeViS_Track_Solution_2024.

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