Synthetic data
相关论文数: 20
顶级研究者
最高引用论文
FlowNet3D: Learning Scene Flow in 3D Point Clouds
Xingyu Liu, Charles R. Qi, Leonidas Guibas
引用数: 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
引用数: 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
引用数: 277 • 2017
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
引用数: 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
引用数: 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
引用数: 123 • 2020
Unseen Object Instance Segmentation for Robotic Environments
Christopher Xie, Xiang Yu, Arsalan Mousavian, Dieter Fox
引用数: 119 • 2021
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming
Mulham Fawakherji, Ciro Potena, Alberto Pretto, Domenico D. Bloisi, Daniele Nardi
引用数: 110 • 2021
Learning 3D Shape Completion under Weak Supervision
引用数: 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
引用数: 66 • 2021
Learning Affordance Segmentation for Real-World Robotic Manipulation via Synthetic Images
Fu-Jen Chu, Ruinian Xu, Patricio A. Vela
引用数: 63 • 2019
Optimising realism of synthetic images using cycle generative adversarial networks for improved part segmentation
R. Barth, J. Hemming, E.J. van Henten
引用数: 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
引用数: 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
引用数: 48 • 2023
Constrained Motif Discovery in Time Series
Yasser Mohammad, Toyoaki Nishida
引用数: 45 • 2009
Learning to Augment Synthetic Images for Sim2Real Policy Transfer
Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid
引用数: 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
引用数: 43 • 2020
Fast estimation of Gaussian mixture models for image segmentation
Nicola Greggio, Alexandre Bernardino, Cecilia Laschi, Paolo Dario, José Santos-Victor
引用数: 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
引用数: 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
引用数: 38 • 2018