Generalized Few-Shot Learning on CUB

Metric: Per-Class Accuracy (10-shots) (higher is better)

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#	Model↕	Per-Class Accuracy (10-shots)▼	Augmentations	Paper	Date↕	Code
1	MVCN	67.8	No	Better Generalized Few-Shot Learning Even Withou...	2022-11-29	Code
2	CADA-VAE	64.9	No	-	-	Code
3	CA-VAE	62.2	No	-	-	Code
4	DA-VAE	60.8	No	-	-	Code
5	REVISE	50.9	No	Learning Robust Visual-Semantic Embeddings	2017-03-17	-

#1MVCNSOTA
67.8
Per-Class Accuracy (10-shots)· 2022-11-29
Better Generalized Few-Shot Learning Even Without Base Data Code
#2CADA-VAE
64.9
Per-Class Accuracy (10-shots)
No paperCode
#3CA-VAE
62.2
Per-Class Accuracy (10-shots)
No paperCode
#4DA-VAE
60.8
Per-Class Accuracy (10-shots)
No paperCode
#5REVISESOTA
50.9
Per-Class Accuracy (10-shots)· 2017-03-17
Learning Robust Visual-Semantic Embeddings