Generalized Few-Shot Learning on CUB-LT

Metric: Long-Tailed Accuracy (higher is better)

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#	Model↕	Long-Tailed Accuracy▼	Augmentations	Paper	Date↕	Code
1	DRAGON	67.7	No	From Generalized zero-shot learning to long-tail...	2020-04-05	Code
2	DRAGON + Bal'Loss	66.5	No	From Generalized zero-shot learning to long-tail...	2020-04-05	Code
3	LWS	65.7	No	Decoupling Representation and Classifier for Lon...	2019-10-21	Code
4	LDAM	64.1	No	Learning Imbalanced Datasets with Label-Distribu...	2019-06-18	Code
5	CADA-VAE	57.4	No	-	-	Code

#1DRAGONSOTA
67.7
Long-Tailed Accuracy· 2020-04-05
From Generalized zero-shot learning to long-tail with class descriptors Code
#2DRAGON + Bal'Loss
66.5
Long-Tailed Accuracy· 2020-04-05
From Generalized zero-shot learning to long-tail with class descriptors Code
#3LWSSOTA
65.7
Long-Tailed Accuracy· 2019-10-21
Decoupling Representation and Classifier for Long-Tailed Recognition Code
#4LDAMSOTA
64.1
Long-Tailed Accuracy· 2019-06-18
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Code
#5CADA-VAE
57.4
Long-Tailed Accuracy
No paperCode