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Computer Science > Computer Vision and Pattern Recognition

arXiv:2210.09629 (cs)
[Submitted on 18 Oct 2022]

Title:1st Place Solutions for the UVO Challenge 2022

Authors:Jiajun Zhang, Boyu Chen, Zhilong Ji, Jinfeng Bai, Zonghai Hu
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Abstract:This paper describes the approach we have taken in the challenge. We still adopted the two-stage scheme same as the last champion, that is, detection first and segmentation followed. We trained more powerful detector and segmentor separately. Besides, we also perform pseudo-label training on the test set, based on student-teacher framework and end-to-end transformer based object detection. The method ranks first on the 2nd Unidentified Video Objects (UVO) challenge, achieving AR@100 of 46.8, 64.7 and 32.2 in the limited data frame track, unlimited data frame track and video track respectively.
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2210.09629 [cs.CV]
  (or arXiv:2210.09629v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2210.09629

Submission history

From: Jiajun Zhang [view email]
[v1] Tue, 18 Oct 2022 06:54:37 UTC (16,926 KB)
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