mlsanityData to 7 Oct 2026

1st Place Solutions for the UVO Challenge 2022

arXiv 2210.09629 ↗First posted 18 Oct 2022cs.CVcited by 1

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 22 of its 25 references that are in the map. First posted on arXiv 18 Oct 2022.

Builds on

22 of 25 references.

References · 22

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10 more
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Cited by year

Citing papers per year: 2023: 1.

1 paper.

  1. 2023Champion Solution for the WSDM2023 Toloka VQA Challengecited by 3