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

2021-10-22 08:39:02
Yuming Du, Wen Guo, Yang Xiao, Vincent Lepetit
arXiv_CV
         
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.

Abstract (translated)

URL

https://arxiv.org/abs/2110.11661

PDF

https://arxiv.org/pdf/2110.11661.pdf

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