Skip to content

gzaraunitn/autolabel

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation

This repository contains the official code for the paper AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation (CVPR 2023), by Giacomo Zara, Subhankar Roy, Paolo Rota and Elisa Ricci.

The scripts folder contains a sample script to run the experiment. It is possible to run for any setting by just changing the setting flag to any of the options present in configs/setting/. Please note that the paths in the get_datasets()method in data/dataloader.py can and should be edited according to the current file system. The file autolabel.yaml can be used to build the conda environment where to run the experiments (modify the prefix according to your file system).

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published