Many real-world recognition problems are characterized by long-tailed label distributions. These distributions make representation learning highly challenging due to limited …
J Li, Z Meng, D Shi, R Song, X Diao… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract Deep Neural Networks (DNNs) are rather restrictive in long-tailed data, since they commonly exhibit an under-representation for minority classes. Various remedies have been …
It's widely acknowledged that deep learning models with flatter minima in its loss landscape tend to generalize better. However, such property is under-explored in deep long-tailed …
Y Zhang, XS Wei, B Zhou, J Wu - … of the AAAI conference on artificial …, 2021 - ojs.aaai.org
In recent years, visual recognition on challenging long-tailed distributions, where classes often exhibit extremely imbalanced frequencies, has made great progress mostly based on …
T Li, L Wang, G Wu - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Deep learning has achieved remarkable progress for visual recognition on large-scale balanced datasets but still performs poorly on real-world long-tailed data. Previous methods …
B Zhou, Q Cui, XS Wei… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Our work focuses on tackling the challenging but natural visual recognition task of long- tailed data distribution (ie, a few classes occupy most of the data, while most classes have …
F Du, P Yang, Q Jia, F Nan… - Proceedings of the …, 2023 - openaccess.thecvf.com
In this paper, our goal is to design a simple learning paradigm for long-tail visual recognition, which not only improves the robustness of the feature extractor but also …
X Zhou, J Zhai, Y Cao - Pattern Recognition, 2023 - Elsevier
Deep learning has achieved remarkable success in recent years; however, deep learning methods face significant challenges on long-tailed datasets, which are prevalent in real …
The networks trained on the long-tailed dataset vary remarkably, despite the same training settings, which shows the great uncertainty in long-tailed learning. To alleviate the …