Point Transformer V3 Extreme: 1st Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation
<|reference_start|>Point Transformer V3 Extreme: 1st Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation: In this technical report, we detail our first-place solution for the 2024 Waymo Open Dataset Challenge's semantic segmentation track. We significantly enhanced the performance of Point Transformer V3 on the Waymo benchmark by implementing cutting-edge, plug-and-play training and inference technologies. Notably, our advanced version, Point Transformer V3 Extreme, leverages multi-frame training and a no-clipping-point policy, achieving substantial gains over the original PTv3 performance. Additionally, employing a straightforward model ensemble strategy further boosted our results. This approach secured us the top position on the Waymo Open Dataset semantic segmentation leaderboard, markedly outperforming other entries.<|reference_end|>
@article{wu2024point,
    title={Point Transformer V3 Extreme: 1st Place Solution for 2024 Waymo Open
  Dataset Challenge in Semantic Segmentation},
    author={Xiaoyang Wu, Xiang Xu, Lingdong Kong, Liang Pan, Ziwei Liu, Tong He,
  Wanli Ouyang, Hengshuang Zhao},
    journal={arXiv preprint arXiv:2407.15282},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.15282},
    primaryClass={cs.CV}
}