This is the official implementation of the paper The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation (ICCV2023) by Giacomo Zara, Alessandro Conti, Subhankar Roy, Stéphane Lathuilière, Paolo Rota and Elisa Ricci.
A sample bash script in stored in the scripts directory, containing a sample command for each
stage of the procd posed pipeline. The txt directories contains the file lists for each
considered benchmark: these files can and should be modified according to the paths used locally.
The file dallv.yamlcan be used to build the conda environment where to run the experiments
(modify the prefix according to your file system). Any experiment can be run by setting the
experiment flag in the command to any of the options available in configs/experiment.
We refer the reader to the ATCoN method project page in
order to download the datasets used in the paper.