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arXiv · 2110.11661

UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place Solution

Yuming Du·Wen Guo·Yang Xiao·Vincent Lepetit
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Abstract

In this report, we introduce our (pretty straightforard) two-step "detect-then-match" video instance segmentation method. The first step performs instance segmentation for each frame to get a large number of instance mask proposals. The second step is to do inter-frame instance mask matching with the help of optical flow. We demonstrate that with high quality mask proposals, a simple matching mechanism is good enough for tracking. Our approach achieves the first place in the UVO 2021 Video-based Open-World Segmentation Challenge.

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Yuming Du, Wen Guo, Yang Xiao, Vincent Lepetit. 2021-10-22. UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place Solution. https://arxiv.org/abs/2110.11661

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