Long Tail Learning On Cifar 10 Lt R 100

评估指标

Error Rate

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
ETF Classifier + DR (Resnet)	23.5	Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
LDAM-DRW	22.97	Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
LDAM-DRW + SSP	22.17	Rethinking the Value of Labels for Improving Class-Imbalanced Learning
ELP	22	A Simple Episodic Linear Probe Improves Visual Recognition in the Wild	-
TSC(ResNet-32)	21.3	Targeted Supervised Contrastive Learning for Long-Tailed Recognition
CE+DRS+GIT	21.24	Do Deep Networks Transfer Invariances Across Classes?
smDRAGON	20.37	From Generalized zero-shot learning to long-tail with class descriptors
TLC (4 experts)	19.6	Trustworthy Long-Tailed Classification
MetaSAug-LDAM	19.34	MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
ACE (4 experts)	18.6	ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot	-
MiSLAS	17.9	Improving Calibration for Long-Tailed Recognition
VS + SAM	17.6	Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
FBL (ResNet-32)	17.54	Feature-Balanced Loss for Long-Tailed Visual Recognition	-
GCL	17.32	Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment	-
DirMixE	16.74	Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition
TADE	16.2	Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
NCL* + WGCC (ensemble)	15.4	Weight-guided class complementing for long-tailed image recognition	-
NCL(ResNet32)	15.3	Nested Collaborative Learning for Long-Tailed Visual Recognition
SimSiam+rwSAM	14.4	Self-supervised Learning is More Robust to Dataset Imbalance
ConCutMix	13.93	Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation

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