1 code implementation • 7 Dec 2023 • Thomas Westfechtel, Dexuan Zhang, Tatsuya Harada
In a first step, we generate the zero-shot predictions of the source and target dataset using the vision-language model.
Ranked #1 on Domain Adaptation on Office-Home
1 code implementation • 16 Nov 2023 • Thomas Westfechtel, Hao-Wei Yeh, Dexuan Zhang, Tatsuya Harada
Unsupervised domain adaptation (UDA) tries to overcome the need for a large labeled dataset by transferring knowledge from a source dataset, with lots of labeled data, to a target dataset, that has no labeled data.
Ranked #5 on Domain Adaptation on Office-31
1 code implementation • WACV 2023 • Thomas Westfechtel, Hao-Wei Yeh, Qier Meng, Yusuke Mukuta, Tatsuya Harada
Firstly, it lets the domain classifier focus on features that are important for the classification, and, secondly, it couples the classification and adversarial branch more closely.
Ranked #8 on Domain Adaptation on Office-31