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Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection

Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection

4 August 2017
Debidatta Dwibedi
Ishan Misra
M. Hebert
ArXiv (abs)PDFHTML

Papers citing "Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection"

16 / 266 papers shown
Title
Geometric Image Synthesis
Geometric Image Synthesis
Hassan Abu Alhaija
Siva Karthik Mustikovela
Andreas Geiger
Carsten Rother
3DVGAN
62
47
0
12 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
158
125
0
10 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjDVLMOOD
216
2,466
0
06 Sep 2018
On the Importance of Visual Context for Data Augmentation in Scene
  Understanding
On the Importance of Visual Context for Data Augmentation in Scene Understanding
Nikita Dvornik
Julien Mairal
Cordelia Schmid
97
84
0
06 Sep 2018
How Robust is 3D Human Pose Estimation to Occlusion?
How Robust is 3D Human Pose Estimation to Occlusion?
István Sárándi
Timm Linder
Kai O. Arras
Bastian Leibe
3DH
80
69
0
28 Aug 2018
Human-centric Indoor Scene Synthesis Using Stochastic Grammar
Human-centric Indoor Scene Synthesis Using Stochastic Grammar
Siyuan Qi
Yixin Zhu
Siyuan Huang
Chenfanfu Jiang
Song-Chun Zhu
3DV
54
184
0
25 Aug 2018
Deep Leaf Segmentation Using Synthetic Data
Deep Leaf Segmentation Using Synthetic Data
Daniel Ward
Peyman Moghadam
N. Hudson
64
107
0
28 Jul 2018
Synthetically Trained Icon Proposals for Parsing and Summarizing
  Infographics
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics
Spandan Madan
Zoya Bylinskii
Matthew Tancik
Adrià Recasens
Kimberli Zhong
Sami Alsheikh
Hanspeter Pfister
A. Oliva
F. Durand
DiffM
47
14
0
27 Jul 2018
Modeling Visual Context is Key to Augmenting Object Detection Datasets
Modeling Visual Context is Key to Augmenting Object Detection Datasets
Nikita Dvornik
Julien Mairal
Cordelia Schmid
87
245
0
19 Jul 2018
Learning Object Localization and 6D Pose Estimation from Simulation and
  Weakly Labeled Real Images
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images
Jean-Philippe Mercier
Chaitanya Mitash
Philippe Giguère
Abdeslam Boularias
3DPC
74
10
0
18 Jun 2018
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by
  Domain Randomization
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Jonathan Tremblay
Aayush Prakash
David Acuna
M. Brophy
Varun Jampani
Cem Anil
Thang To
Eric Cameracci
Shaad Boochoon
Stan Birchfield
OOD
87
824
0
18 Apr 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
101
230
0
11 Apr 2018
Learning to Segment via Cut-and-Paste
Learning to Segment via Cut-and-Paste
Tal Remez
Jonathan Huang
Matthew A. Brown
89
99
0
16 Mar 2018
Target Driven Instance Detection
Target Driven Instance Detection
Phil Ammirato
Cheng-Yang Fu
Mykhailo Shvets
Jana Kosecka
Alexander C. Berg
86
27
0
13 Mar 2018
What Makes Good Synthetic Training Data for Learning Disparity and
  Optical Flow Estimation?
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
N. Mayer
Eddy Ilg
Philipp Fischer
C. Hazirbas
Daniel Cremers
Alexey Dosovitskiy
Thomas Brox
OOD
74
216
0
19 Jan 2018
On Pre-Trained Image Features and Synthetic Images for Deep Learning
On Pre-Trained Image Features and Synthetic Images for Deep Learning
Stefan Hinterstoißer
Vincent Lepetit
Paul Wohlhart
K. Konolige
VLMObjD
54
232
0
29 Oct 2017
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