Awesome

Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering

This pytorch code generates segmentation labels of an input image.

Unsupervised Image Segmentation with Scribbles

Wonjik Kim*, Asako Kanezaki*, and Masayuki Tanaka. Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering. IEEE Transactions on Image Processing, accepted, 2020. (arXiv)

*W. Kim and A. Kanezaki contributed equally to this work.

What is new?

This is an extension of our previous work.

Better performance with spatial continuity loss
Option of using scribbles as user input
Option of using reference image(s)

Requirements

pytorch, opencv2, tqdm

Getting started

Vanilla

$ python demo.py --input ./BSD500/101027.jpg

Vanilla + scribbles

$ python demo.py --input ./PASCAL_VOC_2012/2007_001774.jpg --scribble

Vanilla + reference image(s)

$ python demo_ref.py --input ./BBC/