Safa: Sample-adaptive feature augmentation for long-tailed image classification
Imbalanced datasets with long-tailed distribution widely exist in practice, posing great
challenges for deep networks on how to handle the biased predictions between head …
challenges for deep networks on how to handle the biased predictions between head …
[PDF][PDF] SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image Classification
Y Hong, J Zhang, Z Sun, K Yan - ecva.net
Imbalanced datasets with long-tailed distribution widely exist in practice, posing great
challenges for deep networks on how to handle the biased predictions between head …
challenges for deep networks on how to handle the biased predictions between head …
SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image Classification
Y Hong, J Zhang, Z Sun, K Yan - European Conference on Computer …, 2022 - dl.acm.org
Imbalanced datasets with long-tailed distribution widely exist in practice, posing great
challenges for deep networks on how to handle the biased predictions between head …
challenges for deep networks on how to handle the biased predictions between head …