Skip to content

SFI-Visual-Intelligence/SuperCM

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

SUPERCM: Revisiting Clustering for Semi-Supervised Learning

This repository contains the source codes for the paper [SUPERCM: Revisiting Clustering for Semi-Supervised Learning](archive link coming soon).
Accepted at IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP 2023)

Citing this work

If you find this work useful in your research, please consider citing:

@inproceedings{
}

Overview

Usage

Install Pytorch. We recommend version 1.3 so that the additional TensorFlow ops can be compiled. The code provided has been # tested with Python 2.7, TensorFlow 1.3, and CUDA 8.0. The following steps need to be performed to run the codes given in this repository:

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%