Synthetic data

FlowNet3D: Learning Scene Flow in 3D Point Clouds

Xingyu Liu, Charles R. Qi, Leonidas Guibas

Citations: 517 • 2019

Deep Object Pose Estimation for Semantic Robotic Grasping of Household\n Objects

Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Xiang Yu, Dieter Fox, Stan Birchfield

Citations: 283 • 2018

Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks

Yinda Zhang, Shuran Song, Ersin Yumer, Manolis Savva, Joon‐Young Lee, Hailin Jin, Thomas Funkhouser

Citations: 277 • 2017

Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training

Citations: 222 • 2018

Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data

Michael Danielczuk, Matthew Matl, Saurabh Gupta, Andrew C. Li, Andrew Lee, Jeffrey Mahler, Ken Goldberg

Citations: 189 • 2019

se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

Bowen Wen, Chaitanya Mitash, Baozhang Ren, Kostas E. Bekris

Citations: 123 • 2020

Unseen Object Instance Segmentation for Robotic Environments

Christopher Xie, Xiang Yu, Arsalan Mousavian, Dieter Fox

Citations: 119 • 2021

Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming

Mulham Fawakherji, Ciro Potena, Alberto Pretto, Domenico D. Bloisi, Daniele Nardi

Citations: 110 • 2021

Learning 3D Shape Completion under Weak Supervision

Citations: 96 • 2018

Synthetic Biological Signals Machine-Generated by GPT-2 Improve the Classification of EEG and EMG Through Data Augmentation

Jordan J. Bird, Michael Pritchard, Antonio Fratini, Anikó Ekárt, Diego R. Faria

Citations: 66 • 2021

Learning Affordance Segmentation for Real-World Robotic Manipulation via Synthetic Images

Fu-Jen Chu, Ruinian Xu, Patricio A. Vela

Citations: 63 • 2019

Optimising realism of synthetic images using cycle generative adversarial networks for improved part segmentation

R. Barth, J. Hemming, E.J. van Henten

Citations: 61 • 2020

A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking

Xianzhi Li, Rui Cao, Yidan Feng, Kai Chen, Biqi Yang, Chi‐Wing Fu, Yichuan Li, Qi Dou, Yunhui Liu, Pheng‐Ann Heng

Citations: 52 • 2022

Hybrid DNN training using both synthetic and real construction images to overcome training data shortage

Jinwoo Kim, Daeho Kim, Sang Hyun Lee, Seokho Chi

Citations: 48 • 2023

Constrained Motif Discovery in Time Series

Yasser Mohammad, Toyoaki Nishida

Citations: 45 • 2009

Learning to Augment Synthetic Images for Sim2Real Policy Transfer

Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid

Citations: 45 • 2019

Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation

Ayşegül Dündar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz

Citations: 43 • 2020

Fast estimation of Gaussian mixture models for image segmentation

Nicola Greggio, Alexandre Bernardino, Cecilia Laschi, Paolo Dario, José Santos-Victor

Citations: 41 • 2011

Transfer Learning from Synthetic to Real Images Using Variational Autoencoders for Precise Position Detection

Tadanobu Inoue, Subhajit Choudhury, Giovanni De Magistris, Sakyasingha Dasgupta

Citations: 38 • 2018

Object Detection and Pose Estimation Based on Convolutional Neural Networks Trained with Synthetic Data

Josip Josifovski, Matthias Kerzel, Christoph Pregizer, Lukas Posniak, Stefan Wermter

Citations: 38 • 2018