Long-tail Learning on CIFAR-10-LT (ρ=100)

Metric: Error Rate (lower is better)

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#	Model↕	Error Rate▲	Augmentations	Paper	Date↕	Code
1	GLMC+MaxNorm (ResNet-34, channel x4)	10.42	No	Global and Local Mixture Consistency Cumulative ...	2023-05-15	Code
2	GLMC + SAM	10.82	No	Escaping Saddle Points for Effective Generalizat...	2022-12-28	Code
3	LPT	10.9	Yes	LPT: Long-tailed Prompt Tuning for Image Classif...	2022-10-03	Code
4	GLMC (ResNet-34, channel x4)	11.5	No	Global and Local Mixture Consistency Cumulative ...	2023-05-15	Code
5	DeiT-LT	12.5	No	DeiT-LT Distillation Strikes Back for Vision Tra...	2024-04-03	Code
6	SURE(ResNet-32)	13.07	No	SURE: SUrvey REcipes for building reliable and r...	2024-03-01	Code
7	VS + ADRW + TLA	13.58	No	A Unified Generalization Analysis of Re-Weightin...	2023-10-07	Code
8	OPeN (WideResNet-28-10)	13.9	No	Pure Noise to the Rescue of Insufficient Data: I...	2021-12-16	Code
9	ConCutMix	13.93	No	Enhanced Long-Tailed Recognition with Contrastiv...	2024-07-06	Code
10	SimSiam+rwSAM	14.4	No	Self-supervised Learning is More Robust to Datas...	2021-10-11	Code
11	NCL(ResNet32)	15.3	No	Nested Collaborative Learning for Long-Tailed Vi...	2022-03-29	Code
12	NCL* + WGCC (ensemble)	15.4	No	-	-	-
13	TADE	16.2	No	Self-Supervised Aggregation of Diverse Experts f...	2021-07-20	Code
14	DirMixE	16.74	No	Harnessing Hierarchical Label Distribution Varia...	2024-05-13	Code
15	GCL	17.32	No	Long-tailed Visual Recognition via Gaussian Clou...	2023-05-19	Code
16	FBL (ResNet-32)	17.54	No	Feature-Balanced Loss for Long-Tailed Visual Rec...	2023-05-18	Code
17	VS + SAM	17.6	No	Escaping Saddle Points for Effective Generalizat...	2022-12-28	Code
18	MiSLAS	17.9	No	Improving Calibration for Long-Tailed Recognition	2021-04-01	Code
19	ACE (4 experts)	18.6	No	ACE: Ally Complementary Experts for Solving Long...	2021-08-05	-
20	MetaSAug-LDAM	19.34	No	MetaSAug: Meta Semantic Augmentation for Long-Ta...	2021-03-23	Code
21	TLC (4 experts)	19.6	No	Trustworthy Long-Tailed Classification	2021-11-17	Code
22	smDRAGON	20.37	No	From Generalized zero-shot learning to long-tail...	2020-04-05	Code
23	CE+DRS+GIT	21.24	No	Do Deep Networks Transfer Invariances Across Cla...	2022-03-18	Code
24	TSC(ResNet-32)	21.3	No	Targeted Supervised Contrastive Learning for Lon...	2021-11-27	Code
25	ELP	22	No	-	-	Code
26	LDAM-DRW + SSP	22.17	No	Rethinking the Value of Labels for Improving Cla...	2020-06-13	Code
27	LDAM-DRW	22.97	No	Learning Imbalanced Datasets with Label-Distribu...	2019-06-18	Code
28	ETF Classifier + DR (Resnet)	23.5	No	Inducing Neural Collapse in Imbalanced Learning:...	2022-03-17	Code

#1GLMC+MaxNorm (ResNet-34, channel x4)SOTA
10.42
Error Rate· 2023-05-15
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions Code
#2GLMC + SAMSOTA
10.82
Error Rate· 2022-12-28
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data Code
#3LPTSOTA
10.9
Error Rate· Augmentations· 2022-10-03
LPT: Long-tailed Prompt Tuning for Image Classification Code
#4GLMC (ResNet-34, channel x4)
11.5
Error Rate· 2023-05-15
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions Code
#5DeiT-LT
12.5
Error Rate· 2024-04-03
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets Code
#6SURE(ResNet-32)
13.07
Error Rate· 2024-03-01
SURE: SUrvey REcipes for building reliable and robust deep networks Code
#7VS + ADRW + TLA
13.58
Error Rate· 2023-10-07
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning Code
#8OPeN (WideResNet-28-10)SOTA
13.9
Error Rate· 2021-12-16
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images Code
#9ConCutMix
13.93
Error Rate· 2024-07-06
Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation Code
#10SimSiam+rwSAMSOTA
14.4
Error Rate· 2021-10-11
Self-supervised Learning is More Robust to Dataset Imbalance Code
#11NCL(ResNet32)
15.3
Error Rate· 2022-03-29
Nested Collaborative Learning for Long-Tailed Visual Recognition Code
#12NCL* + WGCC (ensemble)
15.4
Error Rate
No paper
#13TADESOTA
16.2
Error Rate· 2021-07-20
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition Code
#14DirMixE
16.74
Error Rate· 2024-05-13
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition Code
#15GCL
17.32
Error Rate· 2023-05-19
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment Code
#16FBL (ResNet-32)
17.54
Error Rate· 2023-05-18
Feature-Balanced Loss for Long-Tailed Visual Recognition Code
#17VS + SAM
17.6
Error Rate· 2022-12-28
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data Code
#18MiSLASSOTA
17.9
Error Rate· 2021-04-01
Improving Calibration for Long-Tailed Recognition Code
#19ACE (4 experts)
18.6
Error Rate· 2021-08-05
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot
#20MetaSAug-LDAMSOTA
19.34
Error Rate· 2021-03-23
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition Code
#21TLC (4 experts)
19.6
Error Rate· 2021-11-17
Trustworthy Long-Tailed Classification Code
#22smDRAGONSOTA
20.37
Error Rate· 2020-04-05
From Generalized zero-shot learning to long-tail with class descriptors Code
#23CE+DRS+GIT
21.24
Error Rate· 2022-03-18
Do Deep Networks Transfer Invariances Across Classes?Code
#24TSC(ResNet-32)
21.3
Error Rate· 2021-11-27
Targeted Supervised Contrastive Learning for Long-Tailed Recognition Code
#25ELP
22
Error Rate
No paperCode
#26LDAM-DRW + SSP
22.17
Error Rate· 2020-06-13
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Code
#27LDAM-DRWSOTA
22.97
Error Rate· 2019-06-18
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Code
#28ETF Classifier + DR (Resnet)
23.5
Error Rate· 2022-03-17
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?Code