Curvature-balanced feature manifold learning for long-tailed classification

Y Ma, L Jiao, F Liu, S Yang, X Liu… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
To address the challenges of long-tailed classification, researchers have proposed several
approaches to reduce model bias, most of which assume that classes with few samples are …

Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification

Y Ma, L Jiao, F Liu, S Yang, X Liu, L Li - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
To address the challenges of long-tailed classification, researchers have proposed several
approaches to reduce model bias, most of which assume that classes with few samples are …

Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification

Y Ma, L Jiao, F Liu, S Yang, X Liu, L Li - arXiv preprint arXiv:2303.12307, 2023 - arxiv.org
To address the challenges of long-tailed classification, researchers have proposed several
approaches to reduce model bias, most of which assume that classes with few samples are …

Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification

Y Ma, L Jiao, F Liu, S Yang, X Liu, L Li - 2023 IEEE/CVF Conference …, 2023 - computer.org
To address the challenges of long-tailed classification, researchers have proposed several
approaches to reduce model bias, most of which assume that classes with few samples are …

Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification

Y Ma, L Jiao, F Liu, S Yang, X Liu… - 2023 IEEE/CVF …, 2023 - ieeexplore.ieee.org
To address the challenges of long-tailed classification, researchers have proposed several
approaches to reduce model bias, most of which assume that classes with few samples are …