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. 1612.04647
  4. Cited By
UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision

UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision

14 December 2016
Yi Zhang
Weichao Qiu
Qi Chen
Xiaolin Hu
Alan Yuille
ArXivPDFHTML

Papers citing "UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision"

10 / 10 papers shown
Title
Rapid Training Data Creation by Synthesizing Medical Images for
  Classification and Localization
Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization
A. Kushwaha
Sarthak Gupta
Anish Bhanushali
T. R. Dastidar
MedIm
18
3
0
09 Aug 2023
Bent & Broken Bicycles: Leveraging synthetic data for damaged object
  re-identification
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification
Luca Piano
F. G. Pratticó
Alessandro Sebastian Russo
Lorenzo Lanari
Lia Morra
Fabrizio Lamberti
37
1
0
16 Apr 2023
Analyzing Effects of Fake Training Data on the Performance of Deep
  Learning Systems
Analyzing Effects of Fake Training Data on the Performance of Deep Learning Systems
Pratinav Seth
Akshat Bhandari
Kumud Lakara
20
0
0
02 Mar 2023
RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis
RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis
Jonathan Tremblay
Moustafa Meshry
Alex Evans
Jan Kautz
A. Keller
...
Charles T. Loop
N. Morrical
Koki Nagano
Towaki Takikawa
Stan Birchfield
40
31
0
14 May 2022
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
Structured Domain Randomization: Bridging the Reality Gap by
  Context-Aware Synthetic Data
Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data
Aayush Prakash
Shaad Boochoon
M. Brophy
David Acuna
Eric Cameracci
Gavriel State
Omer Shapira
Stan Birchfield
16
264
0
23 Oct 2018
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose
  Estimation
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation
Jonathan Tremblay
Thang To
Stan Birchfield
20
169
0
18 Apr 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
24
807
0
18 Apr 2018
Adversarial Attacks Beyond the Image Space
Adversarial Attacks Beyond the Image Space
Fangyin Wei
Chenxi Liu
Yu-Siang Wang
Weichao Qiu
Lingxi Xie
Yu-Wing Tai
Chi-Keung Tang
Alan Yuille
AAML
41
145
0
20 Nov 2017
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
Siyuan Qiao
Wei Shen
Weichao Qiu
Chenxi Liu
Alan Yuille
22
36
0
22 Apr 2017
1