most citedCombining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance

2 citations · 2 across the 2 of their papers we have counts for

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2 papers

cs.CV2023★ 2 cited

Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance

Thomas Westfechtel, Dexuan Zhang, Tatsuya Harada

Unsupervised domain adaptation (UDA) tries to overcome the tedious work of labeling data by leveraging a labeled source dataset and transferring its knowledge to a similar but diff…

cs.CV2023

Gradual Source Domain Expansion for Unsupervised Domain Adaptation

Thomas Westfechtel, Hao-Wei Yeh, Dexuan Zhang +1

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…