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

17 March 2022

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

4 / 4 papers shown

Title
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision Jiahui Lei Congyue Deng Karl Schmeckpeper Leonidas J. Guibas Kostas Daniilidis 3DPC 24 21 0 27 Mar 2023
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding Jasmine Collins Shubham Goel Kenan Deng Achleshwar Luthra Leon L. Xu ... T. F. Y. Vicente T. Dideriksen H. Arora M. Guillaumin Jitendra Malik 154 217 0 12 Oct 2021
Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations Adel Ahmadyan Liangkai Zhang Jianing Wei Artsiom Ablavatski Matthias Grundmann 3DPC 148 174 0 18 Dec 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016