Generalized Few-Shot Learning on AwA2

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

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Results

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#	Model↕	Per-Class Accuracy (10-shots)▼	Augmentations	Paper	Date↕	Code
1	MVCN	82.2	No	Better Generalized Few-Shot Learning Even Withou...	2022-11-29	Code
2	DRAGON	81.9	No	From Generalized zero-shot learning to long-tail...	2020-04-05	Code
3	CADA-VAE	80.2	No	Generalized Zero- and Few-Shot Learning via Alig...	2018-12-05	Code
4	CA-VAE	79	No	-	-	Code
5	DA-VAE	76.8	No	-	-	Code
6	REVISE	67.8	No	Learning Robust Visual-Semantic Embeddings	2017-03-17	-

#1MVCNSOTA
82.2
Per-Class Accuracy (10-shots)· 2022-11-29
Better Generalized Few-Shot Learning Even Without Base Data Code
#2DRAGONSOTA
81.9
Per-Class Accuracy (10-shots)· 2020-04-05
From Generalized zero-shot learning to long-tail with class descriptors Code
#3CADA-VAESOTA
80.2
Per-Class Accuracy (10-shots)· 2018-12-05
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders Code
#4CA-VAE
79
Per-Class Accuracy (10-shots)
No paperCode
#5DA-VAE
76.8
Per-Class Accuracy (10-shots)
No paperCode
#6REVISESOTA
67.8
Per-Class Accuracy (10-shots)· 2017-03-17
Learning Robust Visual-Semantic Embeddings