Aug 30, 2021 · Abstract: The goal of domain adaptation (DA) is to train a good model for a target domain, with a large amount of labeled data in a source ...
In this work, we study the problem of open set domain adaptation (OSDA), which only requires the target label space to partially overlap with the source label ...
Oct 22, 2024 · The goal of domain adaptation (DA) is to train a good model for a target domain, with a large amount of labeled data in a source domain but ...
Dec 24, 2024 · Usually in OSDA methods, unknown samples in the target domain are rejected, while known samples from the target domain are aligned with the ...
Open Set Domain Adaptation With Soft Unknown-Class Rejection · Yiming XuLin ... This paper examines a realistic case of open set domain adaptation with partially ...
Open-Set Recognition (OSR) is the task to classify an instance correctly if it belongs to the known classes or to reject outliers otherwise, during the testing ...
Dec 22, 2020 · Experimental results on three conventional domain adaptation datasets show outperformance over both state-of-the-art CSDA and OSDA benchmarks.
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Aug 30, 2021 · 在本文中，我们通过提出一种新颖的OSDA 方法来解决上述问题，该方法对未知目标类执行软拒绝并同时匹配源域和目标域。对三个标准数据集的广泛实验验证了所 ...
We propose a domain adaptation network that is the first to excavate the unknown class space for boosting knowl- edge transfer and generalization to the target ...
In our experiments, we show that it makes not much difference if the unknown class is included in the unsupervised setting since the outlier handling discards ...