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. 2401.14387
  4. Cited By
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label
  Pairs

Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label Pairs

25 January 2024
Michael R. H. Vorndran
Bernhard F. Roeck
    VLM
    ISeg
    UQCV
ArXivPDFHTML

Papers citing "Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label Pairs"

2 / 2 papers shown
Title
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,561
0
17 Apr 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
288
75,800
0
18 May 2015
1