Generalized Few-Shot Learning on CIFAR-10-LT (ρ=10)

Metric: Error Rate (lower is better)

LeaderboardDataset

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Results

#	Model↕	Error Rate▲	Augmentations	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