EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for
Creating Robotic RGB-D Datasets

EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets

5 February 2019

David Fischinger

Markus Vincze

Papers citing "EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets"

10 / 60 papers shown

Title
Unknown Object Segmentation from Stereo Images M. Durner W. Boerdijk M. Sundermeyer W. Friedl Zoltán-Csaba Márton Rudolph Triebel 26 34 0 11 Mar 2021
SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences Dennis Stumpf Stephan Krauß Gerd Reis Oliver Wasenmüller D. Stricker 3DV VLM 19 17 0 22 Feb 2021
Fast Object Segmentation Learning with Kernel-based Methods for Robotics Federico Ceola Elisa Maiettini Giulia Pasquale Lorenzo Rosasco Lorenzo Natale OCL 10 9 0 25 Nov 2020
Rapid Pose Label Generation through Sparse Representation of Unknown Objects R. P. Singh M. Benallegue Yusuke Yoshiyasu F. Kanehiro 11 6 0 07 Nov 2020
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation Yu Xiang Christopher Xie Arsalan Mousavian D. Fox 10 98 0 30 Jul 2020
Unseen Object Instance Segmentation for Robotic Environments Christopher Xie Yu Xiang Arsalan Mousavian D. Fox 15 131 0 16 Jul 2020
TAdam: A Robust Stochastic Gradient Optimizer Wendyam Eric Lionel Ilboudo Taisuke Kobayashi Kenji Sugimoto ODL 9 12 0 29 Feb 2020
Pose Estimation for Texture-less Shiny Objects in a Single RGB Image Using Synthetic Training Data Chen Chen Xin Jiang Weiguo Zhou Yunhui Liu 3DH 20 7 0 23 Sep 2019
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation Christopher Xie Yu Xiang Arsalan Mousavian D. Fox 8 92 0 30 Jul 2019
Recurrent Convolutional Fusion for RGB-D Object Recognition Mohammad Reza Loghmani M. Planamente Barbara Caputo Markus Vincze 9 31 0 05 Jun 2018