Skip to content

CYBORG-NIT-ROURKELA/Improving_Semantic_segmentation

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits

Class_selection

Class_selection

 
 

Images

Images

 
 

Interconversion

Interconversion

 
 

Flowchart_doc.docx

Flowchart_doc.docx

 
 

README.md

README.md

 
 

alt_main.py

alt_main.py

 
 

collage_generator.py

collage_generator.py

 
 

kde.py

kde.py

 
 

main.py

main.py

 
 

meanshift main.py

meanshift main.py

 
 

meanshift_using_kde.ipynb

meanshift_using_kde.ipynb

 
 

miou_calculation.py

miou_calculation.py

 
 

results.txt

results.txt

 
 

select.py

select.py

 
 

Repository files navigation

Improving Semantic Segmentation Through Clustering

This repository is the implmenatation of the article, Disparting, wich propose a noble method for optimisng the segmentation process in Deep Convolutional Neural Networks by solving the anomaly due to fine edges. Our overall pipeline

About

optimising the segmentation process in Deep Convolutional Neural Networks by solving the anomaly due to fine edges

Topics

clustering pytorch transfer-learning semantic-segmentation deeplab-resnet watershed watershed-algorithm meanshift deeplabv3 deeplab-v3-plus pytorch-implementation disparting

Resources

Readme
Activity
Custom properties

Stars

23 stars

Watchers

2 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •  

Languages