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• W4366352743 endingPage "10816" @default.
• W4366352743 startingPage "10795" @default.
• W4366352743 abstract "Deep long-tailed learning, one of the most challenging problems in visual recognition, aims to train well-performing deep models from a large number of images that follow a long-tailed class distribution. In the last decade, deep learning has emerged as a powerful recognition model for learning high-quality image representations and has led to remarkable breakthroughs in generic visual recognition. However, long-tailed class imbalance, a common problem in practical visual recognition tasks, often limits the practicality of deep network based recognition models in real-world applications, since they can be easily biased towards dominant classes and perform poorly on tail classes. To address this problem, a large number of studies have been conducted in recent years, making promising progress in the field of deep long-tailed learning. Considering the rapid evolution of this field, this article aims to provide a comprehensive survey on recent advances in deep long-tailed learning. To be specific, we group existing deep long-tailed learning studies into three main categories (i.e., class re-balancing, information augmentation and module improvement), and review these methods following this taxonomy in detail. Afterward, we empirically analyze several state-of-the-art methods by evaluating to what extent they address the issue of class imbalance via a newly proposed evaluation metric, i.e., relative accuracy. We conclude the survey by highlighting important applications of deep long-tailed learning and identifying several promising directions for future research." @default.
• W4366352743 created "2023-04-21" @default.
• W4366352743 creator A5032599820 @default.
• W4366352743 creator A5033884558 @default.
• W4366352743 creator A5036658104 @default.
• W4366352743 creator A5039765869 @default.
• W4366352743 creator A5065675832 @default.
• W4366352743 date "2023-09-01" @default.
• W4366352743 modified "2023-10-12" @default.
• W4366352743 title "Deep Long-Tailed Learning: A Survey" @default.
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