Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
ECCV 2022
Jogendra Nath Kundu*1 Suvaansh Bhambri*1 Akshay Kulkarni*1 Hiran Sarkar1
Varun Jampani2 R. Venkatesh Babu1
1Video Analytics Lab, Indian Institute of Science 2Google Research
We introduce concurrent subsidiary supervised DA that not only improves unsupervised goal DA but also facilitates source-free DA. We provide theoretical insights for a suitability criteria to identify DA-assistive subsidiary tasks.
Video
Citation
If you find our work helpful in your research, please cite our work:
@InProceedings{kundu2022concurrent,
title={Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation},
author={Kundu, Jogendra Nath and Bhambri, Suvaansh and Kulkarni, Akshay and Sarkar, Hiran and Jampani, Varun and Babu, R. Venkatesh},
booktitle={European Conference on Computer Vision},
year={2022},
}
License
This project is licenced under an [MIT License].
Contact
If you have any queries, please get in touch via email : jogendranathkundu@gmail.com