Few-Shot Image Classification on CIFAR-100-LT (ρ=10)

Metric: Error Rate (lower is better)

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#	Model↕	Error Rate▲	Extra Data	Paper	Date↕	Code
1	LIFT (ViT-B/16, ImageNet-21K pre-training)	8.7	No	Long-Tail Learning with Foundation Model: Heavy ...	2023-09-18	Code
2	LPT	9	Yes	LPT: Long-tailed Prompt Tuning for Image Classif...	2022-10-03	Code
3	VPT	10.4	Yes	Visual Prompt Tuning	2022-03-23	Code
4	LIFT (ViT-B/16, CLIP)	15.1	No	Long-Tail Learning with Foundation Model: Heavy ...	2023-09-18	Code
5	GLMC+MaxNorm (ResNet-32, channel x4)	25.72	No	Global and Local Mixture Consistency Cumulative ...	2023-05-15	Code
6	GLMC (ResNet-34, channel x4)	26.53	No	Global and Local Mixture Consistency Cumulative ...	2023-05-15	Code
7	SURE(ResNet-32)	26.76	No	SURE: SUrvey REcipes for building reliable and r...	2024-03-01	Code
8	PC	30.88	No	Learning Prototype Classifiers for Long-Tailed R...	2023-02-01	Code
9	LTR-weight-balancing	31.33	No	Long-Tailed Recognition via Weight Balancing	2022-03-27	Code
10	GML (ResNet-32)	33	No	Long-Tailed Recognition by Mutual Information Ma...	2023-05-02	Code
11	VS + ADRW + TLA	34.41	No	A Unified Generalization Analysis of Re-Weightin...	2023-10-07	Code
12	Difficulty-Net	34.78	No	Difficulty-Net: Learning to Predict Difficulty f...	2022-09-07	Code
13	BCL+CUDA	35.4	No	CUDA: Curriculum of Data Augmentation for Long-T...	2023-02-10	Code
14	GLAG	35.5	No	Long-Tailed Classification with Gradual Balanced...	2022-02-28	-
15	LCReg	35.8	No	Long-tailed Recognition by Learning from Latent ...	2022-06-02	-
16	TADE	36.4	No	Self-Supervised Aggregation of Diverse Experts f...	2021-07-20	Code
17	DRO-LT	36.59	No	Distributional Robustness Loss for Long-tail Lea...	2021-04-07	-
18	MiSLAS	36.8	No	Improving Calibration for Long-Tailed Recognition	2021-04-01	Code
19	SMC	37.5	No	Supervised Contrastive Learning on Blended Image...	2022-11-22	-
20	Hybrid-PSC	37.63	No	Contrastive Learning based Hybrid Networks for L...	2021-03-26	-
21	LADE	38.3	No	Disentangling Label Distribution for Long-tailed...	2020-12-01	Code
22	RIDE + CMO + Curvature Regularization	38.6	No	Predicting and Enhancing the Fairness of DNNs wi...	2023-03-22	Code
23	MetaSAug-LDAM	38.72	No	MetaSAug: Meta Semantic Augmentation for Long-Ta...	2021-03-23	Code
24	UniMix+Bayias (ResNet-32)	38.75	No	Towards Calibrated Model for Long-Tailed Visual ...	2021-11-06	Code
25	CBD+TailCalibX	38.87	No	Feature Generation for Long-tail Classification	2021-11-10	Code
26	ELP	40.9	No	-	-	Code
27	LDAM-DRW + SSP	41.09	No	Rethinking the Value of Labels for Improving Cla...	2020-06-13	Code
28	smDRAGON	41.23	No	From Generalized zero-shot learning to long-tail...	2020-04-05	Code
29	CDB-loss	41.26	No	Class-Wise Difficulty-Balanced Loss for Solving ...	2020-10-05	Code
30	LDAM-DRW	41.29	No	Learning Imbalanced Datasets with Label-Distribu...	2019-06-18	Code
31	CE-DRW-IC	41.4	No	Posterior Re-calibration for Imbalanced Datasets	2020-10-22	-

#1LIFT (ViT-B/16, ImageNet-21K pre-training)SOTA
8.7
Error Rate· 2023-09-18
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts Code
#2LPTSOTA
9
Error Rate· Extra Data· 2022-10-03
LPT: Long-tailed Prompt Tuning for Image Classification Code
#3VPTSOTA
10.4
Error Rate· Extra Data· 2022-03-23
Visual Prompt Tuning Code
#4LIFT (ViT-B/16, CLIP)
15.1
Error Rate· 2023-09-18
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts Code
#5GLMC+MaxNorm (ResNet-32, channel x4)
25.72
Error Rate· 2023-05-15
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions Code
#6GLMC (ResNet-34, channel x4)
26.53
Error Rate· 2023-05-15
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions Code
#7SURE(ResNet-32)
26.76
Error Rate· 2024-03-01
SURE: SUrvey REcipes for building reliable and robust deep networks Code
#8PC
30.88
Error Rate· 2023-02-01
Learning Prototype Classifiers for Long-Tailed Recognition Code
#9LTR-weight-balancing
31.33
Error Rate· 2022-03-27
Long-Tailed Recognition via Weight Balancing Code
#10GML (ResNet-32)
33
Error Rate· 2023-05-02
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels Code
#11VS + ADRW + TLA
34.41
Error Rate· 2023-10-07
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning Code
#12Difficulty-Net
34.78
Error Rate· 2022-09-07
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition Code
#13BCL+CUDA
35.4
Error Rate· 2023-02-10
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Code
#14GLAGSOTA
35.5
Error Rate· 2022-02-28
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation
#15LCReg
35.8
Error Rate· 2022-06-02
Long-tailed Recognition by Learning from Latent Categories
#16TADESOTA
36.4
Error Rate· 2021-07-20
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition Code
#17DRO-LTSOTA
36.59
Error Rate· 2021-04-07
Distributional Robustness Loss for Long-tail Learning
#18MiSLASSOTA
36.8
Error Rate· 2021-04-01
Improving Calibration for Long-Tailed Recognition Code
#19SMC
37.5
Error Rate· 2022-11-22
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition
#20Hybrid-PSCSOTA
37.63
Error Rate· 2021-03-26
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification
#21LADESOTA
38.3
Error Rate· 2020-12-01
Disentangling Label Distribution for Long-tailed Visual Recognition Code
#22RIDE + CMO + Curvature Regularization
38.6
Error Rate· 2023-03-22
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds Code
#23MetaSAug-LDAM
38.72
Error Rate· 2021-03-23
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition Code
#24UniMix+Bayias (ResNet-32)
38.75
Error Rate· 2021-11-06
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Code
#25CBD+TailCalibX
38.87
Error Rate· 2021-11-10
Feature Generation for Long-tail Classification Code
#26ELP
40.9
Error Rate
No paperCode
#27LDAM-DRW + SSPSOTA
41.09
Error Rate· 2020-06-13
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Code
#28smDRAGONSOTA
41.23
Error Rate· 2020-04-05
From Generalized zero-shot learning to long-tail with class descriptors Code
#29CDB-loss
41.26
Error Rate· 2020-10-05
Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance Code
#30LDAM-DRWSOTA
41.29
Error Rate· 2019-06-18
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Code
#31CE-DRW-IC
41.4
Error Rate· 2020-10-22
Posterior Re-calibration for Imbalanced Datasets