TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes

v1v2v3 (latest)

TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes

17 March 2022

ArXiv (abs)PDF HTML Github (54★)

Papers citing "TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes"

6 / 6 papers shown

Title
3D Adaptive Structural Convolution Network for Domain-Invariant Point Cloud Recognition Younggun Kim Beomsik Cho Seonghoon Ryoo Soomok Lee 3DPC 71 1 0 05 Jul 2024
3D Small Object Detection with Dynamic Spatial Pruning Xiuwei Xu Zhihao Sun Ziwei Wang Hongmin Liu Jie Zhou Jiwen Lu 3DPC 150 4 0 05 May 2023
Synthetic Datasets for Autonomous Driving: A Survey Zhihang Song Zimin He Xingyu Li Q. Ma RuiBo Ming ... Huaxin Pei Lihui Peng Jianming Hu Dingyi Yao Yan Zhang 99 46 0 24 Apr 2023
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision Jiahui Lei Congyue Deng Karl Schmeckpeper Leonidas Guibas Kostas Daniilidis 3DPC 102 22 0 27 Mar 2023
MVImgNet: A Large-scale Dataset of Multi-view Images Xianggang Yu Mutian Xu Yidan Zhang Haolin Liu Chongjie Ye ... Zhangyang Xiong Tianyou Liang Guanying Chen Shuguang Cui Xiaoguang Han 3DV 138 171 0 10 Mar 2023
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency Mingye Xu Mutian Xu Tong He Wanli Ouyang Yali Wang Xiaoguang Han Yu Qiao 72 10 0 20 Dec 2022