Cross Domain Few Shot On Cars

Metrics

5 shot

Results

Performance results of various models on this benchmark

		Paper Title
StyleAdv-FT	56.44	StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
ATA-FT	54.28	Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
BSCD-FSL	52.08	A Broader Study of Cross-Domain Few-Shot Learning
StyleAdv	50.13	StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
AFA	49.28	Adversarial Feature Augmentation for Cross-domain Few-shot Classification
ATA	49.14	Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
wave-SAN	46.11	Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning
FWT	44.90	Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

0 of 8 row(s) selected.

Cross Domain Few Shot On Cars

Metrics

5 shot

Results

Performance results of various models on this benchmark

		Paper Title
StyleAdv-FT	56.44	StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
ATA-FT	54.28	Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
BSCD-FSL	52.08	A Broader Study of Cross-Domain Few-Shot Learning
StyleAdv	50.13	StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
AFA	49.28	Adversarial Feature Augmentation for Cross-domain Few-shot Classification
ATA	49.14	Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
wave-SAN	46.11	Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning
FWT	44.90	Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

0 of 8 row(s) selected.

Cross Domain Few Shot On Cars | SOTA | HyperAI