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 two taxonomies; one for the problems and the other for the proposed solutions. Following the taxonomy for the problems, 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 categorizes 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 .

本文系统综述了物体检测中的不平衡问题，并提出了以问题为基础的分类法，并对每个问题进行深入讨论，对文献中的解决方案提出了统一而批判性的观点。此外，我们也指出了现有不平衡问题以及未被讨论的不平衡问题的主要开放问题，并提供了一个Web页面，以我们的以问题为基础的分类法来列出解决不平衡问题的论文，供研究人员跟踪新的研究。

目标检测中的不平衡问题综述