Point Transformer V3 Extreme: 1st Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation

Xiaoyang Wu, Xiang Xu, Lingdong Kong, Liang Pan, Ziwei Liu +3 more
7/21/2024
cs.CV

No confident code implementation found for this paper. 1 possible match can be shown below.

Abstract

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes

83% match2024

Technical Report for CVPR 2024 WeatherProof Dataset Challenge: Semantic Segmentation on Paired Real Data

83% match2024

HARP-NeXt: High-Speed and Accurate Range-Point Fusion Network for 3D LiDAR Semantic Segmentation

83% match1 repo202025

ICPR 2024 Competition on Safe Segmentation of Drive Scenes in Unstructured Traffic and Adverse Weather Conditions

82% match2024

Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation

82% match1 repo822024

Pseudo-Label Enhanced Cascaded Framework: 2nd Technical Report for LSVOS 2025 VOS Track

82% match2025

Cite this paper

@article{wu2024point,
  title  = {Point Transformer V3 Extreme: 1st Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation},
  author = {Xiaoyang Wu and Xiang Xu and Lingdong Kong and Liang Pan and Ziwei Liu and Tong He and Wanli Ouyang and Hengshuang Zhao},
  year   = {2024},
  eprint = {2407.15282},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2407.15282v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2407.15282.svg)](https://codeofpaper.com/paper/2407.15282)

Discussion