TL;DR本文是一篇 Open Set Recognition 领域的综述性研究,介绍了现有的开放集识别模型、它们的优劣以及该领域的最新进展,分析了 OSR 与多类别分类和新颖性检测的关系,得出该领域可以有效地处理现实世界中未知的情况结论,并提出了新的研究方向和应用场景。
Abstract
open set recognition (OSR) is about dealing with unknown situations that were
not learned by the models during training. In this paper, we provide a survey
of existing works about OSR and distinguish their respec