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MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable
  Uncertainty

MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
10 November 2023
Rémi Marsal
F. Chabot
Angélique Loesch
William Grolleau
H. Sahbi
    MDEUQCV
ArXiv (abs)PDFHTMLGithub (35★)

Papers citing "MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty"

5 / 5 papers shown
Title
CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry
CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry
Jingchao Xie
Oussema Dhaouadi
Weirong Chen
Johannes Meier
Jacques Kaiser
Daniel Cremers
92
0
0
01 Aug 2025
Survey on Monocular Metric Depth Estimation
Survey on Monocular Metric Depth Estimation
Jiuling Zhang
VLM
624
6
0
21 Jan 2025
Self-supervised Monocular Depth and Pose Estimation for Endoscopy with
  Generative Latent Priors
Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Generative Latent Priors
Ziang Xu
Bin Li
Yang Hu
Chenyu Zhang
J. East
Sharib Ali
J. Rittscher
MedImMDE
279
2
0
26 Nov 2024
Unsupervised Monocular Depth Estimation Based on Hierarchical Feature-Guided Diffusion
Unsupervised Monocular Depth Estimation Based on Hierarchical Feature-Guided Diffusion
Runze Liu
Dongchen Zhu
Guanghui Zhang
Yue Xu
Wenjun Shi
Xiaolin Zhang
Lei Wang
Jiamao Li
MDEDiffM
177
2
0
14 Jun 2024
Forget About the LiDAR: Self-Supervised Depth Estimators with MED
  Probability Volumes
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability VolumesNeural Information Processing Systems (NeurIPS), 2020
Juan Luis Gonzalez
Munchurl Kim
375
95
0
09 Aug 2020
1