Distribution alignment: A unified framework for long-tail visual recognition

S Zhang, Z Li, S Yan, X He… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Despite the success of the deep neural networks, it remains challenging to effectively build a
system for long-tail visual recognition tasks. To address this problem, we first investigate the …
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Distribution Alignment: A Unified Framework for Long-tail Visual Recognition

S Zhang, Z Li, S Yan, X He, J Sun - 2021 IEEE/CVF Conference on …, 2021 - computer.org
Despite the recent success of deep neural networks, it remains challenging to effectively
model the long-tail class distribution in visual recognition tasks. To address this problem, we …

Distribution Alignment: A Unified Framework for Long-tail Visual Recognition

S Zhang, Z Li, S Yan, X He, J Sun - 2021 IEEE/CVF Conference …, 2021 - ieeexplore.ieee.org
Despite the recent success of deep neural networks, it remains challenging to effectively
model the long-tail class distribution in visual recognition tasks. To address this problem, we …

Distribution Alignment: A Unified Framework for Long-tail Visual Recognition

S Zhang, Z Li, S Yan, X He, J Sun - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Despite the recent success of deep neural networks, it remains challenging to effectively
model the long-tail class distribution in visual recognition tasks. To address this problem, we …

Distribution Alignment: A Unified Framework for Long-tail Visual Recognition

S Zhang, Z Li, S Yan, X He, J Sun - arXiv preprint arXiv:2103.16370, 2021 - arxiv.org
Despite the recent success of deep neural networks, it remains challenging to effectively
model the long-tail class distribution in visual recognition tasks. To address this problem, we …