Generalized Few-Shot Learning on CUB Two-Level distributions (test) benchmark leaderboard · SOTA2 Research

Generalized Few-Shot Learning on CUB Two-Level distributions (test)

69.9Harmonic Mean Accuracy (Acc_H)DRAGON

Evaluation Results

Method	Links
DRAGON2020.04		69.9
DRAGON2020.04		67.8
CADA-VAE2020.04		66
CADA-VAE2020.04		64.9
LAGO* (SE)2020.04		64.8
DRAGON2020.04		63.5
CADA-VAE2020.04		63
CA-VAE2020.04		62.2
LDAM2020.04		61.5
CE Loss* (VE)2020.04		60.9
DA-VAE2020.04		60.8
CA-VAE2020.04		59.6
CADA-VAE2020.04		59.2
DRAGON2020.04		59.2
DA-VAE2020.04		58.8
LAGO* (SE)2020.04		58.6
DRAGON2020.04		55.3
CADA-VAE2020.04		55.2
DA-VAE2020.04		54.6
CA-VAE2020.04		54.4
LDAM2020.04		52.2
REVISE2020.04		50.9
CA-VAE2020.04		50.6
CE Loss* (VE)2020.04		50.2
DA-VAE2020.04		49.2
LAGO* (SE)2020.04		49
REVISE2020.04		44.6
REVISE2020.04		41.1
REVISE2020.04		36.3
LDAM2020.04		36
LAGO* (SE)2020.04		33.2
CE Loss* (VE)2020.04		30.2
LAGO* (SE)2020.04		23
LDAM2020.04		10.9
CE Loss* (VE)2020.04		6.9
LDAM2020.04		2.4
CE Loss* (VE)2020.04		1.2