arxiv:2210.09629

1st Place Solutions for the UVO Challenge 2022

Published on Oct 18, 2022

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Abstract

A two-stage approach using a powerful detector and segmentor, enhanced with pseudo-label training via a student-teacher framework and end-to-end transformer-based object detection, achieved top rankings in the UVO challenge.

AI-generated summary

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.

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