Long-tail Recognition on ImageNet-LT Backward Ours Setting (test) benchmark leaderboard · SOTA2 Research

Long-tail Recognition on ImageNet-LT Backward Ours Setting (test)

0.5559Accuracy 1DirMixE

Evaluation Results

Method	Links
DirMixE2024.05		0.5559	0.5509	0.5625
SADE2024.05		0.5354	0.5313	0.5382
BalPoE2024.05		0.5208	0.5146	0.5236
VS2024.05		0.4403	0.4447	0.4302
RIDE2024.05		0.4349	0.4452	0.4316
DDC2024.05		0.425	0.4409	0.4347
LADE2024.05		0.4153	0.4231	0.4125
LA2024.05		0.4039	0.4016	0.4014
LDAM2024.05		0.3267	0.3254	0.32