In this paper, we present a comprehensive review of the imbalance problems in object detection. To analyze the problems in a systematic manner, we introduce a problem-based taxonomy. Following this taxonomy, we discuss each problem in depth and present a unifying yet critical perspective on the solutions in the literature. In addition, we identify major open issues regarding the existing imbalance problems as well as imbalance problems that have not been discussed before. Moreover, in order to keep our review up to date, we provide an accompanying webpage which catalogs papers addressing imbalance problems, according to our problem-based taxonomy. Researchers can track newer studies on this webpage available at: https://github.com/kemaloksuz/ObjectDetectionImbalance .
翻译：在本文中,我们全面审视物体探测中的不平衡问题。为了系统地分析问题,我们引入了基于问题的分类学。在此分类学之后,我们深入讨论了每个问题,并对文献中的解决办法提出了统一而关键的观点。此外,我们确定了关于现有不平衡问题以及以前没有讨论过的不平衡问题的重大未决问题。此外,为了不断更新我们的审查,我们提供了一个网页,根据基于问题的分类学,将有关不平衡问题的文件编成目录。研究人员可以在以下网页上追踪较新的研究:https://github.com/kemaloksuz/ObjectSetrigionImconsection。
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