Imbalance Problems in Object Detection: A Review
This review addresses imbalance problems in object detection for researchers, but it is incremental as it synthesizes existing literature without proposing new methods.
The paper presents a comprehensive review of imbalance problems in object detection, introducing a problem-based taxonomy to systematically analyze and discuss existing solutions and identify open issues, with an accompanying webpage for tracking newer studies.
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 .