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G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with
  Embedding Vector Features
v1v2 (latest)

G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features

24 March 2020
Wei Chen
Xi Jia
H. Chang
Jinming Duan
A. Leonardis
    3DPC3DH
ArXiv (abs)PDFHTML

Papers citing "G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features"

29 / 29 papers shown
Title
Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction
Bo Sun
Hao Kang
Li Guan
Haoxiang Li
Philippos Mordohai
Gang Hua
114
1
0
28 Jan 2025
DPOD: 6D Pose Object Detector and Refiner
DPOD: 6D Pose Object Detector and Refiner
Sergey Zakharov
I. Shugurov
Slobodan Ilic
3DPC
94
427
0
28 Feb 2019
PIXOR: Real-time 3D Object Detection from Point Clouds
PIXOR: Real-time 3D Object Detection from Point Clouds
Binh Yang
Wenjie Luo
R. Urtasun
3DPC
68
1,097
0
17 Feb 2019
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
Chen Wang
Danfei Xu
Yuke Zhu
Roberto Martín-Martín
Cewu Lu
Li Fei-Fei
Silvio Savarese
MDE
107
958
0
15 Jan 2019
PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation
PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation
Sida Peng
Yuan Liu
Qi-Xing Huang
Hujun Bao
Xiaowei Zhou
3DPC
76
898
0
31 Dec 2018
Segmentation-driven 6D Object Pose Estimation
Segmentation-driven 6D Object Pose Estimation
Yinlin Hu
Joachim Hugonot
Pascal Fua
Mathieu Salzmann
3DPC
73
282
0
06 Dec 2018
Deep Object Pose Estimation for Semantic Robotic Grasping of Household
  Objects
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
Jonathan Tremblay
Thang To
Balakumar Sundaralingam
Yu Xiang
Dieter Fox
Stan Birchfield
89
658
0
27 Sep 2018
Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose
  Estimation
Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation
Markus Oberweger
Mahdi Rad
Vincent Lepetit
3DH3DPC
84
230
0
11 Apr 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
130
21,482
0
08 Apr 2018
DeepIM: Deep Iterative Matching for 6D Pose Estimation
DeepIM: Deep Iterative Matching for 6D Pose Estimation
Yi Li
Gu Wang
Xiangyang Ji
Yu Xiang
Dieter Fox
3DH3DPC
150
706
0
31 Mar 2018
A Unified Framework for Multi-View Multi-Class Object Pose Estimation
A Unified Framework for Multi-View Multi-Class Object Pose Estimation
Chi Li
Jin Bai
Gregory Hager
87
161
0
21 Mar 2018
Feature Mapping for Learning Fast and Accurate 3D Pose Inference from
  Synthetic Images
Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images
Mahdi Rad
Markus Oberweger
Vincent Lepetit
3DH
50
132
0
11 Dec 2017
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
Wadim Kehl
Fabian Manhardt
Federico Tombari
Slobodan Ilic
Nassir Navab
112
925
0
27 Nov 2017
Real-Time Seamless Single Shot 6D Object Pose Prediction
Real-Time Seamless Single Shot 6D Object Pose Prediction
Bugra Tekin
Sudipta N. Sinha
Pascal Fua
76
796
0
24 Nov 2017
Frustum PointNets for 3D Object Detection from RGB-D Data
Frustum PointNets for 3D Object Detection from RGB-D Data
C. Qi
Wen Liu
Chenxia Wu
Hao Su
Leonidas Guibas
3DPC
153
2,271
0
22 Nov 2017
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou
Oncel Tuzel
3DPC
118
3,731
0
17 Nov 2017
Going Further with Point Pair Features
Going Further with Point Pair Features
Stefan Hinterstoißer
Vincent Lepetit
N. Rajkumar
K. Konolige
3DPC
62
191
0
11 Nov 2017
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in
  Cluttered Scenes
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Yu Xiang
Tanner Schmidt
V. Narayanan
Dieter Fox
3DPC
147
1,961
0
01 Nov 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC3DV
366
11,142
0
07 Jun 2017
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for
  Predicting the 3D Poses of Challenging Objects without Using Depth
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth
Mahdi Rad
Vincent Lepetit
59
784
0
31 Mar 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
366
27,244
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
493
14,360
0
02 Dec 2016
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose
  Estimation
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation
Wadim Kehl
Fausto Milletari
Federico Tombari
Slobodan Ilic
Nassir Navab
3DPC
74
285
0
20 Jul 2016
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjDBDL
249
29,871
0
08 Dec 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
531
62,377
0
04 Jun 2015
Learning Descriptors for Object Recognition and 3D Pose Estimation
Learning Descriptors for Object Recognition and 3D Pose Estimation
Paul Wohlhart
Vincent Lepetit
57
449
0
20 Feb 2015
Benchmarking in Manipulation Research: The YCB Object and Model Set and
  Benchmarking Protocols
Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols
B. Çalli
Aaron Walsman
Arjun Singh
S. Srinivasa
Pieter Abbeel
A. Dollar
90
294
0
10 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,312
0
22 Dec 2014
High-Speed Tracking with Kernelized Correlation Filters
High-Speed Tracking with Kernelized Correlation Filters
João F. Henriques
Rui Caseiro
P. Martins
Jorge Batista
93
5,138
0
30 Apr 2014
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