English

OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding

Computer Vision and Pattern Recognition 2024-03-19 v2 Artificial Intelligence Machine Learning

Abstract

This report provides an overview of the challenge hosted at the OpenSUN3D Workshop on Open-Vocabulary 3D Scene Understanding held in conjunction with ICCV 2023. The goal of this workshop series is to provide a platform for exploration and discussion of open-vocabulary 3D scene understanding tasks, including but not limited to segmentation, detection and mapping. We provide an overview of the challenge hosted at the workshop, present the challenge dataset, the evaluation methodology, and brief descriptions of the winning methods. For additional details, please see https://opensun3d.github.io/index_iccv23.html.

Keywords

Cite

@article{arxiv.2402.15321,
  title  = {OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding},
  author = {Francis Engelmann and Ayca Takmaz and Jonas Schult and Elisabetta Fedele and Johanna Wald and Songyou Peng and Xi Wang and Or Litany and Siyu Tang and Federico Tombari and Marc Pollefeys and Leonidas Guibas and Hongbo Tian and Chunjie Wang and Xiaosheng Yan and Bingwen Wang and Xuanyang Zhang and Xiao Liu and Phuc Nguyen and Khoi Nguyen and Anh Tran and Cuong Pham and Zhening Huang and Xiaoyang Wu and Xi Chen and Hengshuang Zhao and Lei Zhu and Joan Lasenby},
  journal= {arXiv preprint arXiv:2402.15321},
  year   = {2024}
}

Comments

Our OpenSUN3D workshop website for ICCV 2023: https://opensun3d.github.io/index_iccv23.html

R2 v1 2026-06-28T14:58:20.655Z