Unknown Exploitation

Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation
In this paper, we addressed the open-set domain adaptation (OSDA) problem. We propose three new approaches to improve OSDA methods by using unknown samples to tighten the classification boundaries of the model.
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Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation