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The 1st-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge. (arXiv:2210.15281v1 [cs.CV])
Oct. 28, 2022, 1:15 a.m. | Yuang Zhang, Tiancai Wang, Weiyao Lin, Xiangyu Zhang
cs.CV updates on arXiv.org arxiv.org
We present our 1st place solution to the Group Dance Multiple People Tracking
Challenge. Based on MOTR: End-to-End Multiple-Object Tracking with Transformer,
we explore: 1) detect queries as anchors, 2) tracking as query denoising, 3)
joint training on pseudo video clips generated from CrowdHuman dataset, and 4)
using the YOLOX detection proposals for the anchor initialization of detect
queries. Our method achieves 73.4% HOTA on the DanceTrack test set, surpassing
the second-place solution by +6.8% HOTA.
More from arxiv.org / cs.CV updates on arXiv.org
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