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 51–100 of 131 papers

Title	Date	Tasks	Status	Hype	Score
ResLT: Residual Learning for Long-tailed Recognition	Jan 26, 2021	Long-tail Learning	CodeCode Available	1	5
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition	Oct 28, 2024	Long-tail LearningVisual Prompt Tuning	CodeCode Available	1	5
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images	Dec 16, 2021	Data Augmentationimage-classification	CodeCode Available	1	5
Influence-Balanced Loss for Imbalanced Visual Classification	Oct 6, 2021	ClassificationLong-tail Learning	CodeCode Available	1	5
Invariant Feature Learning for Generalized Long-Tailed Classification	Jul 19, 2022	AttributeClassification	CodeCode Available	1	5
Large-Scale Long-Tailed Recognition in an Open World	Apr 10, 2019	ClassificationFew-Shot Learning	CodeCode Available	1	5
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification	Jan 6, 2020	General ClassificationKnowledge Distillation	CodeCode Available	1	5
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss	Jun 18, 2019	Long-tail LearningLong-tail learning with class descriptors	CodeCode Available	1	5
Learning Imbalanced Data with Vision Transformers	Dec 5, 2022	Long-tail Learning	CodeCode Available	1	5
Balanced Meta-Softmax for Long-Tailed Visual Recognition	Jul 21, 2020	General ClassificationInstance Segmentation	CodeCode Available	1	5
Parametric Contrastive Learning	Jul 26, 2021	Contrastive LearningImage Classification	CodeCode Available	1	5
Balanced Product of Calibrated Experts for Long-Tailed Recognition	Jun 10, 2022	Long-tail LearningLong-tail Learning on CIFAR-10-LT (ρ=100)	CodeCode Available	1	5
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition	May 8, 2023	Long-tail Learning	CodeCode Available	1	5
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect	Sep 28, 2020	Causal Inferencecounterfactual	CodeCode Available	1	5
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study	Aug 29, 2022	Classificationimage-classification	CodeCode Available	1	5
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts	Sep 18, 2023	Fine-Grained Image ClassificationImage Classification	CodeCode Available	1	5
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning	Jun 8, 2023	Long-tail LearningRepresentation Learning	CodeCode Available	1	5
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels	May 2, 2023	Contrastive Learningimage-classification	CodeCode Available	1	5
Norm-guided latent space exploration for text-to-image generation	Jun 14, 2023	Image GenerationLong-tail Learning	CodeCode Available	1	5
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts	Oct 5, 2020	DiversityImage Classification	CodeCode Available	1	5
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition	Nov 26, 2021	Image ClassificationLong-tail Learning	CodeCode Available	1	5
Long-Tailed Recognition via Weight Balancing	Mar 27, 2022	ClassificationLong-tail Learning	CodeCode Available	1	5
Long-tail learning via logit adjustment	Jul 14, 2020	Long-tail Learning	CodeCode Available	1	5
From Generalized zero-shot learning to long-tail with class descriptors	Apr 5, 2020	Few-Shot LearningGeneralized Few-Shot Learning	CodeCode Available	1	5
Nested Collaborative Learning for Long-Tailed Visual Recognition	Mar 29, 2022	Image ClassificationLong-tail Learning	CodeCode Available	1	5
LPT: Long-tailed Prompt Tuning for Image Classification	Oct 3, 2022	Classificationimage-classification	CodeCode Available	1	5
LTRL: Boosting Long-tail Recognition via Reflective Learning	Jul 17, 2024	Long-tail Learning	CodeCode Available	1	5
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot	Aug 5, 2021	Long-tail Learning	CodeCode Available	0	5
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems	Sep 15, 2022	Domain GeneralizationFine-Grained Image Classification	CodeCode Available	0	5
AlphaNet: Improving Long-Tail Classification By Combining Classifiers	Aug 17, 2020	ClassificationLong-tail Learning	CodeCode Available	0	5
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	5
Bag of Tricks for Long-Tail Visual Recognition of Animal Species in Camera-Trap Images	Jun 24, 2022	ClassificationLong-tail Learning	CodeCode Available	0	5
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition	Dec 5, 2019	Long-tail LearningRepresentation Learning	CodeCode Available	0	5
BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images	Oct 30, 2020	Data AugmentationImage Generation	CodeCode Available	0	5
Distilling Virtual Examples for Long-tailed Recognition	Mar 28, 2021	Knowledge DistillationLong-tail Learning	CodeCode Available	0	5
Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation	Jul 6, 2024	Contrastive LearningData Augmentation	CodeCode Available	0	5
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition	May 13, 2024	DiversityImage Classification	CodeCode Available	0	5
Learning Prototype Classifiers for Long-Tailed Recognition	Feb 1, 2023	Long-tail Learning	CodeCode Available	0	5
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning	Apr 17, 2025	Data AugmentationLong-tail Learning	CodeCode Available	0	5
Long-Tailed Recognition Using Class-Balanced Experts	Apr 7, 2020	Long-tail Learning	CodeCode Available	0	5
Multi-Label Image Recognition with Graph Convolutional Networks	Apr 7, 2019	Long-tail LearningMulti-Label Classification	CodeCode Available	0	5
Posterior Re-calibration for Imbalanced Datasets	Oct 22, 2020	Long-tail LearningSemantic Segmentation	CodeCode Available	0	5
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition	Mar 22, 2022	Contrastive LearningLong-tail Learning	CodeCode Available	0	5
Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks	Dec 18, 2015	General ClassificationLong-tail Learning	CodeCode Available	0	5
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning	Aug 20, 2024	ClassificationLong-tail Learning	CodeCode Available	0	5
Long-Tail Learning with Rebalanced Contrastive Loss	Dec 4, 2023	Contrastive LearningLong-tail Learning	—Unverified	0	0
Long-tailed Recognition by Learning from Latent Categories	Jun 2, 2022	Data AugmentationDiversity	—Unverified	0	0
On Characterizing and Mitigating Imbalances in Multi-Instance Partial Label Learning	Jul 13, 2024	Long-tail LearningPartial Label Learning	—Unverified	0	0
Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-Balanced Samplings	Jun 19, 2021	Long-tail Learning	—Unverified	0	0
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix	Sep 29, 2021	Long-tail Learning	—Unverified	0	0

Show:10 25 50

← PrevPage 2 of 3Next →

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