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1603.08152
Cited By
How useful is photo-realistic rendering for visual learning?
26 March 2016
Yair Movshovitz-Attias
T. Kanade
Yaser Sheikh
3DH
3DV
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Papers citing
"How useful is photo-realistic rendering for visual learning?"
18 / 18 papers shown
Title
VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception
Zhaoliang Wan
Yonggen Ling
Senlin Yi
Lu Qi
Wangwei Lee
...
Xiao Teng
Peng Lu
Xu Yang
Ming Yang
Hui Cheng
41
4
0
31 Dec 2024
Improving Object Detection by Modifying Synthetic Data with Explainable AI
Nitish Mital
Simon Malzard
Richard Walters
Celso M. De Melo
Raghuveer Rao
Victoria Nockles
74
0
0
02 Dec 2024
Scaling Law of Sim2Real Transfer Learning in Expanding Computational Materials Databases for Real-World Predictions
Shunya Minami
Yoshihiro Hayashi
Stephen Wu
Kenji Fukumizu
Hiroki Sugisawa
Masashi Ishii
Isao Kuwajima
Kazuya Shiratori
Ryo Yoshida
AI4CE
16
0
0
07 Aug 2024
Prediction of Scene Plausibility
O. Nachmias
Ohad Fried
Ariel Shamir
3DV
15
0
0
02 Dec 2022
CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry
Steven Moonen
Bram Vanherle
Joris de Hoog
T. Bourgana
A. Bey-Temsamani
Nick Michiels
11
14
0
25 Nov 2022
RGB-X Classification for Electronics Sorting
Abhimanyu Fnu
T. Zodage
Umesh Thillaivasan
Xinyue Lai
Rahul Chakwate
...
E. Oti
Ming Zhao
Ralph Boirum
Howie Choset
Matthew Travers
17
1
0
08 Sep 2022
Information Gain Sampling for Active Learning in Medical Image Classification
Raghav Mehta
Changjian Shui
Brennan Nichyporuk
Tal Arbel
13
5
0
01 Aug 2022
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?
Hiroaki Mikami
Kenji Fukumizu
Shogo Murai
Shuji Suzuki
Yuta Kikuchi
Taiji Suzuki
S. Maeda
Kohei Hayashi
27
12
0
25 Aug 2021
Pre-training without Natural Images
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
79
115
0
21 Jan 2021
Synthetic Data for Deep Learning
Sergey I. Nikolenko
36
347
0
25 Sep 2019
Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines
Kai Wang
Fuyuan Shi
Wenqi Wang
Yibing Nan
Shiguo Lian
14
12
0
28 Apr 2019
Spatial Fusion GAN for Image Synthesis
Fangneng Zhan
Hongyuan Zhu
Shijian Lu
8
149
0
14 Dec 2018
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation
Radek Mackowiak
Philip Lenz
Omair Ghori
Ferran Diego
O. Lange
Carsten Rother
17
108
0
23 Oct 2018
On the Importance of Visual Context for Data Augmentation in Scene Understanding
Nikita Dvornik
Julien Mairal
Cordelia Schmid
24
84
0
06 Sep 2018
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
Hsueh-Ti Derek Liu
Michael Tao
Chun-Liang Li
Derek Nowrouzezahrai
Alec Jacobson
AAML
18
13
0
08 Aug 2018
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
Debidatta Dwibedi
Ishan Misra
M. Hebert
11
617
0
04 Aug 2017
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example
Antonio M. López
Jiaolong Xu
J. L. Gómez
David Vazquez
G. Ros
11
11
0
29 Dec 2016
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
AI4CE
SSL
3DV
3DPC
17
259
0
22 Dec 2016
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