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).