Skip to content

georgeyiasemis/FCRN-PyTorch

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 

Repository files navigation

FCRN-PyTorch

About the Project

Fully Convolutional Residual Network (FCRN) PyTorch implementation based on paper "Deeper Depth Prediction with Fully Convolutional Residual Networks" by Laina I. et al (https://arxiv.org/pdf/1606.00373.pdf).

Model Architecture

fcrn

Fast Up Projection Block

fastup

Prerequisites

  • pytorch

License

Distributed under the MIT License. See LICENSE for more information.

About

Fully Convolutional Residual Network PyTorch implementation.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages