Long-tailed visual recognition with deep models: A methodological survey and evaluation

Y Fu, L Xiang, Y Zahid, G Ding, T Mei, Q Shen, J Han - Neurocomputing, 2022 - Elsevier
In the real world, large-scale datasets for visual recognition typically exhibit a long-tailed
distribution, where only a few classes contain adequate samples but the others have (much) …

Long-tailed visual recognition with deep models:: A methodological survey and evaluation

Y Fu, L Xiang, Y Zahid, G Ding, T Mei, Q Shen, J Han - 2022 - dl.acm.org
In the real world, large-scale datasets for visual recognition typically exhibit a long-tailed
distribution, where only a few classes contain adequate samples but the others have (much) …

[PDF][PDF] Long-tailed visual recognition with deep models: A methodological survey and evaluation q

Y Fu, L Xiang, Y Zahid, G Ding, T Mei… - …, 2022 - ise.thss.tsinghua.edu.cn
abstract In the real world, large-scale datasets for visual recognition typically exhibit a long-
tailed distribution, where only a few classes contain adequate samples but the others have …

[PDF][PDF] Long-tailed visual recognition with deep models: A methodological survey and evaluation

Y Fua, L Xiangb, Y Zahida, G Dingb, T Meic, Q Shena… - pure.aber.ac.uk
In the real world, large-scale datasets for visual recognition typically exhibit a long-tailed
distribution, where only a few classes contain adequate samples but the others have (much) …

Long-tailed visual recognition with deep models: A methodological survey and evaluation

Y Fu, L Xiang, Y Zahid, G Ding, T Mei, Q Shen… - …, 2022 - research.aber.ac.uk
In the real world, large-scale datasets for visual recognition typically exhibit a long-tailed
distribution, where only a few classes contain adequate samples but the others have (much) …

Long-tailed visual recognition with deep models: A methodological survey and evaluation

Y Fu, L Xiang, Y Zahid, G Ding, T Mei, Q Shen… - …, 2022 - research.aber.ac.uk
In the real world, large-scale datasets for visual recognition typically exhibit a long-tailed
distribution, where only a few classes contain adequate samples but the others have (much) …