Feature space augmentation for long-tailed data

P Chu, X Bian, S Liu, H Ling - … Conference, Glasgow, UK, August 23–28 …, 2020 - Springer
Real-world data often follow a long-tailed distribution as the frequency of each class is
typically different. For example, a dataset can have a large number of under-represented …
被引用次数：248 相关文章

Feature Space Augmentation for Long-Tailed Data

P Chu, X Bian, S Liu, H Ling - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Real-world data often follow a long-tailed distribution as the frequency of each class is
typically different. For example, a dataset can have a large number of under-represented …

Feature Space Augmentation for Long-Tailed Data

P Chu, X Bian, S Liu, H Ling - European Conference on Computer …, 2020 - dl.acm.org
Real-world data often follow a long-tailed distribution as the frequency of each class is
typically different. For example, a dataset can have a large number of under-represented …
[PDF] stonybrook.edu

[PDF][PDF] Feature Space Augmentation for Long-Tailed Data

P Chu, X Bian, S Liu, H Ling - cs.stonybrook.edu
Real-world data often follow a long-tailed distribution as the frequency of each class is
typically different. For example, a dataset can have a large number of under-represented …

Feature Space Augmentation for Long-Tailed Data

P Chu, X Bian, S Liu, H Ling - arXiv preprint arXiv:2008.03673, 2020 - arxiv.org
Real-world data often follow a long-tailed distribution as the frequency of each class is
typically different. For example, a dataset can have a large number of under-represented …
[PDF] ecva.net

[PDF][PDF] Feature Space Augmentation for Long-Tailed Data

P Chu, X Bian, S Liu, H Ling - ecva.net
Real-world data often follow a long-tailed distribution as the frequency of each class is
typically different. For example, a dataset can have a large number of under-represented …
[PDF] nsf.gov

[PDF][PDF] Feature Space Augmentation for Long-Tailed Data

P Chu, X Bian, S Liu, H Ling - European Conf. on Computer Vision …, 2020 - par.nsf.gov
Real-world data often follow a long-tailed distribution as the frequency of each class is
typically different. For example, a dataset can have a large number of under-represented …