Paper ID: 2210.09629

1st Place Solutions for the UVO Challenge 2022

Jiajun Zhang, Boyu Chen, Zhilong Ji, Jinfeng Bai, Zonghai Hu

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.

Submitted: Oct 18, 2022