ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1809.05825
  4. Cited By
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN
  Trained on Synthetic Data
v1v2 (latest)

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

16 September 2018
Michael Danielczuk
Matthew Matl
Saurabh Gupta
Andrew Li
Andrew Lee
Jeffrey Mahler
Ken Goldberg
    3DPC
ArXiv (abs)PDFHTML

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

27 / 27 papers shown
Title
RGB-D Object Detection and Semantic Segmentation for Autonomous
  Manipulation in Clutter
RGB-D Object Detection and Semantic Segmentation for Autonomous Manipulation in Clutter
Max Schwarz
Anton Milan
Arul Selvam Periyasamy
Sven Behnke
3DPC
65
162
0
01 Oct 2018
ClusterNet: 3D Instance Segmentation in RGB-D Images
ClusterNet: 3D Instance Segmentation in RGB-D Images
Lin Shao
Ye Tian
Jeannette Bohg
3DPCISeg
57
8
0
24 Jul 2018
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance
  Segmentation
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
Weiyue Wang
Ronald Yu
Qiangui Huang
Ulrich Neumann
3DPC
101
553
0
23 Nov 2017
Semantic Segmentation from Limited Training Data
Semantic Segmentation from Limited Training Data
Anton Milan
Trung T. Pham
B. V. Kumar
D. Morrison
Adam W. Tow
...
Christopher F. Lehnert
G. Lin
Ian Reid
Peter Corke
Jurgen Leitner
56
51
0
22 Sep 2017
Dex-Net 3.0: Computing Robust Robot Vacuum Suction Grasp Targets in
  Point Clouds using a New Analytic Model and Deep Learning
Dex-Net 3.0: Computing Robust Robot Vacuum Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning
Jeffrey Mahler
Matthew Matl
Xinyu Liu
Albert H. Li
David V. Gealy
Ken Goldberg
3DPC
90
137
0
19 Sep 2017
Cartman: The low-cost Cartesian Manipulator that won the Amazon Robotics
  Challenge
Cartman: The low-cost Cartesian Manipulator that won the Amazon Robotics Challenge
D. Morrison
Adam W. Tow
M. McTaggart
R. Smith
N. Kelly-Boxall
...
Zheyu Zhuang
Christopher F. Lehnert
Ian Reid
Peter Corke
Jurgen Leitner
85
139
0
19 Sep 2017
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD
  Data of Cluttered Scenes
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes
Pat Marion
Peter R. Florence
Lucas Manuelli
Russ Tedrake
3DV
93
110
0
15 Jul 2017
End-to-End Learning of Semantic Grasping
End-to-End Learning of Semantic Grasping
Eric Jang
Sudheendra Vijayanarasimhan
P. Pastor
Julian Ibarz
Sergey Levine
83
86
0
06 Jul 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia
Sergio Orts
Sergiu Oprea
Victor Villena-Martinez
Jose Garcia-Rodriguez
3DVSSeg
128
1,278
0
22 Apr 2017
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point
  Clouds and Analytic Grasp Metrics
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
Jeffrey Mahler
Jacky Liang
Sherdil Niyaz
Michael Laskey
R. Doan
Xinyu Liu
J. A. Ojea
Ken Goldberg
3DPC3DV
103
1,268
0
27 Mar 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
269
2,976
0
20 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH3DPC3DVPINN
500
14,384
0
02 Dec 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TSSSeg
282
2,851
0
20 Nov 2016
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated
  Annotations for Real World Tasks?
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
Matthew Johnson-Roberson
Charlie Barto
Rounak Mehta
S. N. Sridhar
Karl Rosaen
Ram Vasudevan
125
617
0
06 Oct 2016
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the
  Amazon Picking Challenge
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
Andy Zeng
Kuan-Ting Yu
Shuran Song
Daniel Suo
Ed Walker
Alberto Rodriguez
Jianxiong Xiao
SSL
79
460
0
29 Sep 2016
3D Object Proposals using Stereo Imagery for Accurate Object Class
  Detection
3D Object Proposals using Stereo Imagery for Accurate Object Class Detection
Xiaozhi Chen
Kaustav Kundu
Yukun Zhu
Huimin Ma
Sanja Fidler
R. Urtasun
3DPC
88
369
0
27 Aug 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
755
37,927
0
20 May 2016
Learning to Refine Object Segments
Learning to Refine Object Segments
Pedro H. O. Pinheiro
Nayeon Lee
R. Collobert
Piotr Dollàr
SSeg
75
854
0
29 Mar 2016
Learning to Segment Object Candidates
Learning to Segment Object Candidates
Pedro H. O. Pinheiro
R. Collobert
Piotr Dollar
SSeg
110
802
0
20 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
540
62,477
0
04 Jun 2015
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with
  Rendered 3D Model Views
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
Hao Su
C. Qi
Yangyan Li
Leonidas Guibas
101
738
0
21 May 2015
DeepBox: Learning Objectness with Convolutional Networks
DeepBox: Learning Objectness with Convolutional Networks
Weicheng Kuo
Bharath Hariharan
Jitendra Malik
ObjD
58
184
0
08 May 2015
Hypercolumns for Object Segmentation and Fine-grained Localization
Hypercolumns for Object Segmentation and Fine-grained Localization
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
SSeg
149
1,595
0
21 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,575
0
04 Sep 2014
Learning Rich Features from RGB-D Images for Object Detection and
  Segmentation
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Saurabh Gupta
Ross B. Girshick
Pablo Arbeláez
Jitendra Malik
ObjD
132
1,561
0
22 Jul 2014
Simultaneous Detection and Segmentation
Simultaneous Detection and Segmentation
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
ObjDISeg
151
1,295
0
07 Jul 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
437
43,875
0
01 May 2014
1