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Generalized Few-Shot Learning
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CUB
Generalized Few-Shot Learning on CUB
Metric: Per-Class Accuracy (5-shots) (higher is better)
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Per-Class Accuracy (5-shots) (best first)
Per-Class Accuracy (5-shots) (worst first)
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Model name (A→Z)
#
Model
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Per-Class Accuracy (5-shots)
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Paper
Date
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Code
1
MVCN
65.4
No
Better Generalized Few-Shot Learning Even Withou...
2022-11-29
Code
2
CADA-VAE
63
No
-
-
Code
3
CA-VAE
59.6
No
-
-
Code
4
DA-VAE
58.8
No
-
-
Code
5
REVISE
44.6
No
Learning Robust Visual-Semantic Embeddings
2017-03-17
-
#1
MVCN
SOTA
65.4
Per-Class Accuracy (5-shots)
· 2022-11-29
Better Generalized Few-Shot Learning Even Without Base Data
Code
#2
CADA-VAE
63
Per-Class Accuracy (5-shots)
No paper
Code
#3
CA-VAE
59.6
Per-Class Accuracy (5-shots)
No paper
Code
#4
DA-VAE
58.8
Per-Class Accuracy (5-shots)
No paper
Code
#5
REVISE
SOTA
44.6
Per-Class Accuracy (5-shots)
· 2017-03-17
Learning Robust Visual-Semantic Embeddings