Long-tail Learning

Long-tailed learning, one of the most challenging problems in visual recognition, aims to train well-performing models from a large number of images that follow a long-tailed class distribution.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–25 of 131 papers

Title	Date	Tasks	Status	Hype
Mitigating Spurious Correlations with Causal Logit Perturbation	May 21, 2025	counterfactualLong-tail Learning	—Unverified	0
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning	Apr 17, 2025	Data AugmentationLong-tail Learning	CodeCode Available	0
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition	Oct 28, 2024	Long-tail LearningVisual Prompt Tuning	CodeCode Available	1
Learning from Neighbors: Category Extrapolation for Long-Tail Learning	Oct 21, 2024	Long-tail LearningRepresentation Learning	—Unverified	0
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition	Oct 8, 2024	Contrastive LearningDensity Estimation	CodeCode Available	1
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation	Sep 30, 2024	Long-tail LearningSemantic Segmentation	CodeCode Available	1
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning	Aug 20, 2024	ClassificationLong-tail Learning	CodeCode Available	0
LTRL: Boosting Long-tail Recognition via Reflective Learning	Jul 17, 2024	Long-tail Learning	CodeCode Available	1
On Characterizing and Mitigating Imbalances in Multi-Instance Partial Label Learning	Jul 13, 2024	Long-tail LearningPartial Label Learning	—Unverified	0
Adaptive Parametric Activation	Jul 11, 2024	imbalanced classificationInstance Segmentation	CodeCode Available	2
Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation	Jul 6, 2024	Contrastive LearningData Augmentation	CodeCode Available	0
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition	May 13, 2024	DiversityImage Classification	CodeCode Available	0
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution	Apr 25, 2024	Data AugmentationFew-Shot Learning	—Unverified	0
Boosting Model Resilience via Implicit Adversarial Data Augmentation	Apr 25, 2024	Data AugmentationLong-tail Learning	—Unverified	0
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets	Apr 3, 2024	Image ClassificationInductive Bias	CodeCode Available	1
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition	Mar 11, 2024	Long-tail Learning	CodeCode Available	2
SURE: SUrvey REcipes for building reliable and robust deep networks	Mar 1, 2024	image-classificationImage Classification	CodeCode Available	2
EAT: Towards Long-Tailed Out-of-Distribution Detection	Dec 14, 2023	Long-tail LearningOut-of-Distribution Detection	CodeCode Available	1
Long-Tail Learning with Rebalanced Contrastive Loss	Dec 4, 2023	Contrastive LearningLong-tail Learning	—Unverified	0
Data-Centric Long-Tailed Image Recognition	Nov 3, 2023	DiversityLong-tail Learning	—Unverified	0
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. paper with code	Oct 7, 2023	Long-tail Learning	CodeCode Available	0
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts	Sep 18, 2023	Fine-Grained Image ClassificationImage Classification	CodeCode Available	1
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition	Aug 19, 2023	DiversityLong-tail Learning	CodeCode Available	1
Probability Guided Loss for Long-Tailed Multi-Label Image Classification	Jun 26, 2023	Classificationimage-classification	—Unverified	0
Variance-Covariance Regularization Improves Representation Learning	Jun 23, 2023	Long-tail LearningRepresentation Learning	—Unverified	0

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All datasets ImageNet-LT CIFAR-100-LT (ρ=100)CIFAR-10-LT (ρ=10)iNaturalist 2018 CIFAR-100-LT (ρ=10)Places-LT CIFAR-10-LT (ρ=100)CIFAR-100-LT (ρ=50)MIMIC-CXR-LT NIH-CXR-LT COCO-MLT VOC-MLT

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	LIFT (ViT-L/14)	Top-1 Accuracy	82.9	—	Unverified
2	µ2Net+ (ViT-L/16)	Top-1 Accuracy	82.5	—	Unverified
3	MAM (ViT-B/16)	Top-1 Accuracy	82.3	—	Unverified
4	LIFT (ViT-B/16)	Top-1 Accuracy	78.3	—	Unverified
5	VL-LTR (ViT-B-16)	Top-1 Accuracy	77.2	—	Unverified
6	BALLAD(ResNet-50×16)	Top-1 Accuracy	76.5	—	Unverified
7	BALLAD(ViT-B-16)	Top-1 Accuracy	75.7	—	Unverified
8	BALLAD(ResNet-101)	Top-1 Accuracy	70.5	—	Unverified
9	VL-LTR (ResNet-50)	Top-1 Accuracy	70.1	—	Unverified
10	BALLAD(ResNet-50)	Top-1 Accuracy	67.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Cross-Entropy (CE)	Error Rate	62.75	—	Unverified
2	Cross-Entropy (CE)	Error Rate	61.68	—	Unverified
3	IBLLoss	Error Rate	61.52	—	Unverified
4	Cross-Entropy + Curvature Regularization	Error Rate	59.5	—	Unverified
5	CE-DRW	Error Rate	58.9	—	Unverified
6	LDAM-DRW	Error Rate	57.96	—	Unverified
7	ELP	Error Rate	57.6	—	Unverified
8	CDB-loss	Error Rate	57.43	—	Unverified
9	CE-DRW-IC	Error Rate	56.9	—	Unverified
10	LDAM-DRW + SSP	Error Rate	56.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RISDA	Error Rate	20.11	—	Unverified
2	Empirical Risk Minimization (ERM, CE)	Error Rate	13.61	—	Unverified
3	Class-balanced Reweighting	Error Rate	13.46	—	Unverified
4	Class-balanced Resampling	Error Rate	13.21	—	Unverified
5	IBLLoss	Error Rate	12.93	—	Unverified
6	Class-balanced Focal Loss	Error Rate	12.9	—	Unverified
7	DecTDE	Error Rate	12.63	—	Unverified
8	M2m	Error Rate	12.5	—	Unverified
9	Prior-LT	Error Rate	12.2	—	Unverified
10	ELF&LDAM+DRW	Error Rate	12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LIFT (ViT-L/14@336px)	Top-1 Accuracy	87.4	—	Unverified
2	LIFT (ViT-L/14)	Top-1 Accuracy	85.2	—	Unverified
3	GML (ViT-B-16)	Top-1 Accuracy	82.1	—	Unverified
4	LIFT (ViT-B/16)	Top-1 Accuracy	80.4	—	Unverified
5	RAC (ViT-B-16)	Top-1 Accuracy	80.24	—	Unverified
6	GPaCo (2-R152)	Top-1 Accuracy	79.8	—	Unverified
7	TADE(ResNet-152)	Top-1 Accuracy	77	—	Unverified
8	ProCo (ResNet50)	Top-1 Accuracy	75.8	—	Unverified
9	MDCS(Resnet50)	Top-1 Accuracy	75.6	—	Unverified
10	DeiT-LT	Top-1 Accuracy	75.1	—	Unverified