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Deep Learning on Monocular Object Pose Detection and Tracking: A
  Comprehensive Overview

Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview

29 May 2021
Zhaoxin Fan
Yazhi Zhu
Yulin He
Qi Sun
Hongyan Liu
Jun He
ArXivPDFHTML

Papers citing "Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview"

27 / 127 papers shown
Title
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
108
922
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
48
790
0
24 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs
Learning SO(3) Equivariant Representations with Spherical CNNs
Carlos Esteves
Christine Allen-Blanchette
A. Makadia
Kostas Daniilidis
96
510
0
17 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
116
1,944
0
01 Nov 2017
Using Simulation and Domain Adaptation to Improve Efficiency of Deep
  Robotic Grasping
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Konstantinos Bousmalis
A. Irpan
Paul Wohlhart
Yunfei Bai
Matthew Kelcey
...
Julian Ibarz
P. Pastor
K. Konolige
Sergey Levine
Vincent Vanhoucke
OOD
71
654
0
22 Sep 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
125
6,830
0
04 Jul 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
48
779
0
31 Mar 2017
Deep 6-DOF Tracking
Deep 6-DOF Tracking
Mathieu Garon
Jean-François Lalonde
3DPC
58
85
0
28 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
189
2,948
0
20 Mar 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
307
27,018
0
20 Mar 2017
6-DoF Object Pose from Semantic Keypoints
6-DoF Object Pose from Semantic Keypoints
Georgios Pavlakos
Xiaowei Zhou
Aaron Chan
Konstantinos G. Derpanis
Kostas Daniilidis
119
392
0
14 Mar 2017
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects
Tomás Hodan
Pavel Haluza
Stepán Obdrzálek
Jirí Matas
Manolis I. A. Lourakis
Xenophon Zabulis
59
497
0
19 Jan 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
3DH
3DPC
3DV
PINN
413
14,191
0
02 Dec 2016
3D Bounding Box Estimation Using Deep Learning and Geometry
3D Bounding Box Estimation Using Deep Learning and Geometry
Arsalan Mousavian
Dragomir Anguelov
John Flynn
Jana Kosecka
3DPC
116
981
0
01 Dec 2016
Convolutional Gated Recurrent Networks for Video Segmentation
Convolutional Gated Recurrent Networks for Video Segmentation
Mennatullah Siam
Sepehr Valipour
Martin Jägersand
Nilanjan Ray
VOS
50
100
0
16 Nov 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
45
285
0
20 Jul 2016
Sequence-Level Knowledge Distillation
Sequence-Level Knowledge Distillation
Yoon Kim
Alexander M. Rush
92
1,109
0
25 Jun 2016
How useful is photo-realistic rendering for visual learning?
How useful is photo-realistic rendering for visual learning?
Yair Movshovitz-Attias
T. Kanade
Yaser Sheikh
3DH
3DV
51
150
0
26 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
101
5,482
0
09 Dec 2015
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
ObjD
BDL
163
29,646
0
08 Dec 2015
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images
Alexander Krull
Eric Brachmann
Frank Michel
M. Yang
Stefan Gumhold
Carsten Rother
SSL
39
199
0
19 Aug 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
491
7,952
0
13 Jun 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
603
36,643
0
08 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
AIMat
ObjD
423
61,900
0
04 Jun 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
266
4,159
0
26 Apr 2015
Learning Descriptors for Object Recognition and 3D Pose Estimation
Learning Descriptors for Object Recognition and 3D Pose Estimation
Paul Wohlhart
Vincent Lepetit
47
445
0
20 Feb 2015
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