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. 2404.08778
  4. Cited By
Towards Sim-to-Real Industrial Parts Classification with Synthetic
  Dataset

Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset

12 April 2024
Xiaomeng Zhu
Talha Bilal
Pär Mårtensson
Lars Hanson
Mårten Björkman
A. Maki
ArXivPDFHTML

Papers citing "Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset"

22 / 22 papers shown
Title
Object Detection Using Sim2Real Domain Randomization for Robotic
  Applications
Object Detection Using Sim2Real Domain Randomization for Robotic Applications
Dániel Horváth
Gábor Erdös
Z. Istenes
Tomáš Horváth
S. Földi
39
43
0
08 Aug 2022
Dataset of Industrial Metal Objects
Dataset of Industrial Metal Objects
Peter De Roovere
Steven Moonen
Nick Michiels
Francis Wyffels
3DV
26
5
0
08 Aug 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
144
5,158
0
10 Jan 2022
A Survey of Unsupervised Domain Adaptation for Visual Recognition
A Survey of Unsupervised Domain Adaptation for Visual Recognition
Youshan Zhang
OOD
56
45
0
13 Dec 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
611
6,029
0
29 Apr 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
553
40,739
0
22 Oct 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLM
ObjD
141
12,223
0
23 Apr 2020
Synthetic dataset generation for object-to-model deep learning in
  industrial applications
Synthetic dataset generation for object-to-model deep learning in industrial applications
Matthew Z. Wong
Kiyohito Kunii
Max Baylis
Wai Hong Ong
P. Kroupa
Swen Koller
32
33
0
24 Sep 2019
Domain Randomization and Pyramid Consistency: Simulation-to-Real
  Generalization without Accessing Target Domain Data
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data
Xiangyu Yue
Yang Zhang
Sicheng Zhao
Alberto L. Sangiovanni-Vincentelli
Kurt Keutzer
Boqing Gong
OOD
58
385
0
02 Sep 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
155
2,395
0
13 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
131
18,058
0
28 May 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
60
266
0
23 Oct 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
60
814
0
18 Apr 2018
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
232
2,959
0
20 Mar 2017
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set
  for Object Detection in Video
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
Esteban Real
Jonathon Shlens
S. Mazzocchi
Xin Pan
Vincent Vanhoucke
VOS
ObjD
91
534
0
02 Feb 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
67
501
0
19 Jan 2017
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
300
814
0
13 Nov 2016
Playing for Data: Ground Truth from Computer Games
Playing for Data: Ground Truth from Computer Games
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
VLM
120
2,007
0
07 Aug 2016
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Adrien Gaidon
Qiao Wang
Yohann Cabon
E. Vig
73
1,072
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,426
0
10 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
AIMat
ObjD
480
62,122
0
04 Jun 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
385
43,524
0
01 May 2014
1