Open-Set Recognition

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.

Do you want to know more about using unknown samples to tighten the classification boundaries? Check our paper “Beyond the Known: Enhancing Open Set Domain Adaptation with Unknown Exploration”, just published in the Pattern Recognition Letters.