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Imbalance Problems in Object Detection: A Review.
- Source :
- IEEE Transactions on Pattern Analysis & Machine Intelligence; Oct2021, Vol. 43 Issue 10, p3388-3415, 28p
- Publication Year :
- 2021
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- OBJECT recognition (Computer vision)
FEATURE extraction
DEEP learning
TAXONOMY
Subjects
Details
- Language :
- English
- ISSN :
- 01628828
- Volume :
- 43
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Pattern Analysis & Machine Intelligence
- Publication Type :
- Academic Journal
- Accession number :
- 153376780
- Full Text :
- https://doi.org/10.1109/TPAMI.2020.2981890