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

Autor:	Engelmann, Francis, Takmaz, Ayca, Schult, Jonas, Fedele, Elisabetta, Wald, Johanna, Peng, Songyou, Wang, Xi, Litany, Or, Tang, Siyu, Tombari, Federico, Pollefeys, Marc, Guibas, Leonidas, Tian, Hongbo, Wang, Chunjie, Yan, Xiaosheng, Wang, Bingwen, Zhang, Xuanyang, Liu, Xiao, Nguyen, Phuc, Nguyen, Khoi, Tran, Anh, Pham, Cuong, Huang, Zhening, Wu, Xiaoyang, Chen, Xi, Zhao, Hengshuang, Zhu, Lei, Lasenby, Joan
Rok vydání:	2024
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Artificial Intelligence Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	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. Comment: Our OpenSUN3D workshop website for ICCV 2023: https://opensun3d.github.io/index_iccv23.html
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2402.15321 Zobrazit plný text záznamu View this record from Arxiv