ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.00319
  4. Cited By
Deep Neural Networks for Computational Optical Form Measurements

Deep Neural Networks for Computational Optical Form Measurements

1 July 2020
L. Hoffmann
Clemens Elster
ArXiv (abs)PDFHTML

Papers citing "Deep Neural Networks for Computational Optical Form Measurements"

2 / 2 papers shown
A framework for benchmarking uncertainty in deep regression
A framework for benchmarking uncertainty in deep regression
F. Schmähling
Jörg Martin
Clemens Elster
UQCV
166
9
0
10 Sep 2021
Uncertainty Quantification by Ensemble Learning for Computational
  Optical Form Measurements
Uncertainty Quantification by Ensemble Learning for Computational Optical Form Measurements
L. Hoffmann
I. Fortmeier
Clemens Elster
UQCV
199
36
0
01 Mar 2021
1
Page 1 of 1