https://github.com/nikhilroxtomar/deep-residual-unet

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.
https://github.com/nikhilroxtomar/deep-residual-unet

fcn keras-tensorflow resunet semantic-segmentation tensorflow

Last synced: about 1 month ago
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ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

• Host: GitHub
• URL: https://github.com/nikhilroxtomar/deep-residual-unet
• Owner: nikhilroxtomar
• Created: 2019-02-14T16:36:46.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-07-26T04:21:04.000Z (almost 5 years ago)
• Last Synced: 2025-05-11T09:44:15.348Z (about 1 month ago)
• Topics: fcn, keras-tensorflow, resunet, semantic-segmentation, tensorflow
• Language: Jupyter Notebook
• Homepage: https://idiotdeveloper.com/what-is-resunet/
• Size: 17.6 MB
• Stars: 230
• Watchers: 6
• Forks: 57
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        
# Deep-Residual-Unet

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Paper: https://arxiv.org/pdf/1711.10684.pdf 


Video Explaination: https://youtu.be/BOoBWRTpaKk

## Architecture

| ![Deep Residual U-Net Architecture](images/arch.png) |

| :--: |

| *Deep Residual U-Net Architecture* |