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Cross Domain Few Shot On Cub

Metrics

5 shot

Results

Performance results of various models on this benchmark

Model Name	5 shot	Paper Title	Repository
StyleAdv-FT	70.90	StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
MSENet	71.59	Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
ATA-FT	69.83	Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
ATA	66.22	Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
FWT	66.98	Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
AFA	68.25	Adversarial Feature Augmentation for Cross-domain Few-shot Classification
StyleAdv	68.72	StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
wave-SAN	70.31	Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning
BSCD-FSL	64.14	A Broader Study of Cross-Domain Few-Shot Learning

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