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CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation

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Bumps [numpy](https://github.com/numpy/numpy) from 1.16.6 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

Hey @mattpoggi , I was trying to train the log model. I made necessary changes to the decoder to include the additional channel. When I start training, the intial loss...

Hi, I want to apply your self-teaching approach to a different dataset and thus have to train it myself. In order to make sure that I get everything right, I...

Bumps [pillow](https://github.com/python-pillow/Pillow) from 6.2.2 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@​radarhere, @​hugovk] Restrict builtins within...

dependencies

Hi, Thanks for this great work. In Eq. 12/13 you have a `log(variance)` that might go negative for variance

Hi, Matteo! Will the training code be published in the future?

When I am reproducing the results, I got v. wrong results, as shown below: ![terminal_output](https://user-images.githubusercontent.com/35197137/185294226-01c842cc-4a7c-46ee-bf8c-e05ccf89589d.jpg) So when I checked plotting the depths and uncertainties saved in `raw/disp` and `raw/uncert` then...

Bumps [pillow](https://github.com/python-pillow/Pillow) from 6.2.2 to 10.0.1. Release notes Sourced from pillow's releases. 10.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html Changes Updated libwebp to 1.3.2 #7395 [@​radarhere] Updated zlib to 1.3 #7344 [@​radarhere] 10.0.0 https://pillow.readthedocs.io/en/stable/releasenotes/10.0.0.html Changes...

dependencies

Bumps [scipy](https://github.com/scipy/scipy) from 1.2.3 to 1.10.0. Release notes Sourced from scipy's releases. SciPy 1.10.0 Release Notes SciPy 1.10.0 is the culmination of 6 months of hard work. It contains many...

dependencies

When I use monodepth2 and implement self-teaching, uncertainty does improve the results. But why I use a lightweight network and implement self-teaching, the result is not better but worse?