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CIFAR-10-LT (ρ=10)
Image Classification on CIFAR-10-LT (ρ=10)
Metric: Error Rate (lower is better)
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#
Model
↕
Error Rate
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Extra Data
Paper
Date
↕
Code
1
GLMC+MaxNorm (ResNet-34, channel x4)
5
No
Global and Local Mixture Consistency Cumulative ...
2023-05-15
Code
2
SURE(ResNet-32)
5.04
No
SURE: SUrvey REcipes for building reliable and r...
2024-03-01
Code
3
GLMC (ResNet-34, channel x4)
5.15
No
Global and Local Mixture Consistency Cumulative ...
2023-05-15
Code
4
3LSSL
7.9
No
Delving Deep into Simplicity Bias for Long-Taile...
2023-02-07
-
5
ResCom
8
No
Rebalanced Siamese Contrastive Mining for Long-T...
2022-03-22
Code
6
VS + ADRW + TLA
8.18
No
A Unified Generalization Analysis of Re-Weightin...
2023-10-07
Code
7
Balanced Softmax (BALMS)
8.7
No
Balanced Meta-Softmax for Long-Tailed Visual Rec...
2020-07-21
Code
8
ViT-B + Bal-BCE
8.7
No
Learning Imbalanced Data with Vision Transformers
2022-12-05
Code
9
LCReg
8.8
No
Long-tailed Recognition by Learning from Latent ...
2022-06-02
-
10
BCL(ResNet-32)
8.9
No
Balanced Contrastive Learning for Long-Tailed Vi...
2022-07-19
Code
11
Hybrid-SC
8.9
No
Contrastive Learning based Hybrid Networks for L...
2021-03-26
-
12
LWS
8.9
No
Decoupling Representation and Classifier for Lon...
2019-10-21
Code
13
cRT
9
No
Decoupling Representation and Classifier for Lon...
2019-10-21
Code
14
PCL
9.14
No
Parametric Contrastive Learning
2021-07-26
Code
15
TADE
9.2
No
Self-Supervised Aggregation of Diverse Experts f...
2021-07-20
Code
16
ViT-B + Bal-CE
9.3
No
Learning Imbalanced Data with Vision Transformers
2022-12-05
Code
17
Equalization Loss
9.8
No
Equalization Loss for Long-Tailed Object Recogni...
2020-03-11
Code
18
MiSLAS
10
No
Improving Calibration for Long-Tailed Recognition
2021-04-01
Code
19
ViT-B + CB
10.1
No
Learning Imbalanced Data with Vision Transformers
2022-12-05
Code
20
De-C-TDE + Curvature Regularization
10.1
No
Predicting and Enhancing the Fairness of DNNs wi...
2023-03-22
Code
21
L2A(S2)
10.16
No
Leveraging Angular Information Between Feature a...
2022-12-03
-
22
ResLT
10.3
No
ResLT: Residual Learning for Long-tailed Recogni...
2021-01-26
Code
23
RIDE
10.3
No
Self-Supervised Aggregation of Diverse Experts f...
2021-07-20
Code
24
ICCL
10.3
No
Improving Tail-Class Representation with Centroi...
2021-10-19
-
25
MetaSAug-LDAM
10.32
No
MetaSAug: Meta Semantic Augmentation for Long-Ta...
2021-03-23
Code
26
UniMix+Bayias
10.34
No
Towards Calibrated Model for Long-Tailed Visual ...
2021-11-06
Code
27
ViT-B + CE
10.5
No
Learning Imbalanced Data with Vision Transformers
2022-12-05
Code
28
LDAM + DRW + SAM
10.6
No
Escaping Saddle Points for Effective Generalizat...
2022-12-28
Code
29
SAFA+LDAM-DRW (ResNeXt-29)
10.61
No
-
-
-
30
GCLLoss
10.77
No
Long-tailed Visual Recognition via Gaussian Clou...
2023-05-19
Code
31
LADE
11.22
No
Disentangling Label Distribution for Long-tailed...
2020-12-01
Code
32
ELP
11.3
No
-
-
Code
33
TSC
11.3
No
Targeted Supervised Contrastive Learning for Lon...
2021-11-27
Code
34
ViT-B + LDAM
11.4
No
Learning Imbalanced Data with Vision Transformers
2022-12-05
Code
35
LDAM-DRW + SSP
11.47
No
Rethinking the Value of Labels for Improving Cla...
2020-06-13
Code
36
Causal Norm
11.5
No
Long-Tailed Classification by Keeping the Good a...
2020-09-28
Code
37
BBN
11.7
No
BBN: Bilateral-Branch Network with Cumulative Le...
2019-12-05
Code
38
smDRAGON
11.84
No
From Generalized zero-shot learning to long-tail...
2020-04-05
Code
39
LDAM-DRW
11.84
No
Learning Imbalanced Datasets with Label-Distribu...
2019-06-18
Code
40
ELF&LDAM+DRW
12
No
ELF: An Early-Exiting Framework for Long-Tailed ...
2020-06-22
-
41
KCL
12
No
-
-
-
42
Prior-LT
12.2
No
Towards Calibrated Model for Long-Tailed Visual ...
2021-11-06
Code
43
M2m
12.5
No
M2m: Imbalanced Classification via Major-to-mino...
2020-04-01
Code
44
DecTDE
12.63
No
Long-Tailed Classification by Keeping the Good a...
2020-09-28
Code
45
Class-balanced Focal Loss
12.9
No
Class-Balanced Loss Based on Effective Number of...
2019-01-16
Code
46
IBLLoss
12.93
No
Influence-Balanced Loss for Imbalanced Visual Cl...
2021-10-06
Code
47
Class-balanced Resampling
13.21
No
Learning Imbalanced Datasets with Label-Distribu...
2019-06-18
Code
48
Class-balanced Reweighting
13.46
No
Class-Balanced Loss Based on Effective Number of...
2019-01-16
Code
49
Empirical Risk Minimization (ERM, CE)
13.61
No
Learning Imbalanced Datasets with Label-Distribu...
2019-06-18
Code
50
RISDA
20.11
No
Imagine by Reasoning: A Reasoning-Based Implicit...
2021-12-15
Code
#1
GLMC+MaxNorm (ResNet-34, channel x4)
SOTA
5
Error Rate
· 2023-05-15
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions
Code
#2
SURE(ResNet-32)
5.04
Error Rate
· 2024-03-01
SURE: SUrvey REcipes for building reliable and robust deep networks
Code
#3
GLMC (ResNet-34, channel x4)
SOTA
5.15
Error Rate
· 2023-05-15
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions
Code
#4
3LSSL
SOTA
7.9
Error Rate
· 2023-02-07
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
#5
ResCom
SOTA
8
Error Rate
· 2022-03-22
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition
Code
#6
VS + ADRW + TLA
8.18
Error Rate
· 2023-10-07
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning
Code
#7
Balanced Softmax (BALMS)
SOTA
8.7
Error Rate
· 2020-07-21
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Code
#8
ViT-B + Bal-BCE
8.7
Error Rate
· 2022-12-05
Learning Imbalanced Data with Vision Transformers
Code
#9
LCReg
8.8
Error Rate
· 2022-06-02
Long-tailed Recognition by Learning from Latent Categories
#10
BCL(ResNet-32)
8.9
Error Rate
· 2022-07-19
Balanced Contrastive Learning for Long-Tailed Visual Recognition
Code
#11
Hybrid-SC
8.9
Error Rate
· 2021-03-26
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification
#12
LWS
SOTA
8.9
Error Rate
· 2019-10-21
Decoupling Representation and Classifier for Long-Tailed Recognition
Code
#13
cRT
SOTA
9
Error Rate
· 2019-10-21
Decoupling Representation and Classifier for Long-Tailed Recognition
Code
#14
PCL
9.14
Error Rate
· 2021-07-26
Parametric Contrastive Learning
Code
#15
TADE
9.2
Error Rate
· 2021-07-20
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
Code
#16
ViT-B + Bal-CE
9.3
Error Rate
· 2022-12-05
Learning Imbalanced Data with Vision Transformers
Code
#17
Equalization Loss
9.8
Error Rate
· 2020-03-11
Equalization Loss for Long-Tailed Object Recognition
Code
#18
MiSLAS
10
Error Rate
· 2021-04-01
Improving Calibration for Long-Tailed Recognition
Code
#19
ViT-B + CB
10.1
Error Rate
· 2022-12-05
Learning Imbalanced Data with Vision Transformers
Code
#20
De-C-TDE + Curvature Regularization
10.1
Error Rate
· 2023-03-22
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds
Code
#21
L2A(S2)
10.16
Error Rate
· 2022-12-03
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach
#22
ResLT
10.3
Error Rate
· 2021-01-26
ResLT: Residual Learning for Long-tailed Recognition
Code
#23
RIDE
10.3
Error Rate
· 2021-07-20
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
Code
#24
ICCL
10.3
Error Rate
· 2021-10-19
Improving Tail-Class Representation with Centroid Contrastive Learning
#25
MetaSAug-LDAM
10.32
Error Rate
· 2021-03-23
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
Code
#26
UniMix+Bayias
10.34
Error Rate
· 2021-11-06
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
Code
#27
ViT-B + CE
10.5
Error Rate
· 2022-12-05
Learning Imbalanced Data with Vision Transformers
Code
#28
LDAM + DRW + SAM
10.6
Error Rate
· 2022-12-28
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
Code
#29
SAFA+LDAM-DRW (ResNeXt-29)
10.61
Error Rate
No paper
#30
GCLLoss
10.77
Error Rate
· 2023-05-19
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment
Code
#31
LADE
11.22
Error Rate
· 2020-12-01
Disentangling Label Distribution for Long-tailed Visual Recognition
Code
#32
ELP
11.3
Error Rate
No paper
Code
#33
TSC
11.3
Error Rate
· 2021-11-27
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Code
#34
ViT-B + LDAM
11.4
Error Rate
· 2022-12-05
Learning Imbalanced Data with Vision Transformers
Code
#35
LDAM-DRW + SSP
11.47
Error Rate
· 2020-06-13
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Code
#36
Causal Norm
11.5
Error Rate
· 2020-09-28
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Code
#37
BBN
11.7
Error Rate
· 2019-12-05
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Code
#38
smDRAGON
11.84
Error Rate
· 2020-04-05
From Generalized zero-shot learning to long-tail with class descriptors
Code
#39
LDAM-DRW
SOTA
11.84
Error Rate
· 2019-06-18
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Code
#40
ELF&LDAM+DRW
12
Error Rate
· 2020-06-22
ELF: An Early-Exiting Framework for Long-Tailed Classification
#41
KCL
12
Error Rate
No paper
#42
Prior-LT
12.2
Error Rate
· 2021-11-06
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
Code
#43
M2m
12.5
Error Rate
· 2020-04-01
M2m: Imbalanced Classification via Major-to-minor Translation
Code
#44
DecTDE
12.63
Error Rate
· 2020-09-28
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Code
#45
Class-balanced Focal Loss
SOTA
12.9
Error Rate
· 2019-01-16
Class-Balanced Loss Based on Effective Number of Samples
Code
#46
IBLLoss
12.93
Error Rate
· 2021-10-06
Influence-Balanced Loss for Imbalanced Visual Classification
Code
#47
Class-balanced Resampling
13.21
Error Rate
· 2019-06-18
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Code
#48
Class-balanced Reweighting
SOTA
13.46
Error Rate
· 2019-01-16
Class-Balanced Loss Based on Effective Number of Samples
Code
#49
Empirical Risk Minimization (ERM, CE)
13.61
Error Rate
· 2019-06-18
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Code
#50
RISDA
20.11
Error Rate
· 2021-12-15
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
Code