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A curated list of long-tailed recognition and related resources.

Please feel free to pull requests or open an issue to add papers.

:high_brightness: Updated 2021-10-03


Table of Contents

Type of Long-tailed Recognition

TypeOSUSCBSCLWSLWTLOther
ExplanationOver SamplingUnder SamplingClass-balanced SamplingClass-level WeightingSample-level WeightingTransfer Learningother types

2021

TitleVenueTypeCodeStar
Label-Imbalanced and Group-Sensitive Classification under OverparameterizationNeurIPSCLW-
Long-tail Learning via Logit AdjustmentICLRCLW-
LONG-TAILED RECOGNITION BY ROUTING DIVERSE DISTRIBUTION-AWARE EXPERTSICLROther-
Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural NetworksAAAIOther-
PML: Progressive Margin Loss for Long-tailed Age ClassificationCVPRCLW-
Distribution Alignment: A Unified Framework for Long-tail Visual RecognitionCVPROther-
Contrastive Learning based Hybrid Networks for Long-Tailed Image ClassificationCVPROther-
Improving Calibration for Long-Tailed RecognitionCVPROther-

2020

TitleVenueTypeCodeStar
Rethinking the Value of Labels for Improving Class-Imbalanced LearningNeurIPSOtherPyTorch(Author)153
Balanced Meta-Softmax for Long-Tailed Visual RecognitionNeurIPSCLWPyTorch(Author)
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal EffectNeurIPSOtherPyTorch(Author)
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance SegmentationACM-MMOtherPyTorch(Author)
Mitigating Dataset Imbalance via Joint Generation and ClassificationECCV-WOtherPyTorch(Author)
Seesaw Loss for Long-Tailed InstanceECCV-WOther-
Balanced Activation for Long-tailed Visual RecognitionECCV-WOther-
Imbalanced Continual Learning with Partitioning Reservoir SamplingECCVOtherPyTorch(Author)
Feature Space Augmentation for Long-Tailed DataECCVAug-
The Devil is in Classification A Simple Framework for Long-tail Instance SegmentationECCVAug-
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed DatasetsECCVCLWPyTorch(Author)91
Solving Long-tailed Recognition with Deep Realistic Taxonomic ClassifierECCVOther-
Learning From Multiple Experts_Self-paced Knowledge Distillation for Long-tailed ClassificationECCVTL-
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation PerspectiveCVPRCLW-
Equalization Loss for Long-Tailed Object RecognitionCVPRCLW SLWPyTorch(Author)116
Domain Balancing: Face Recognition on Long-Tailed DomainsCVPROther-
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual RecognitionCVPROtherPyTorch(Author)360
Deep Representation Learning on Long-tailed Data: A Learnable EmbeddingCVPRTL-
Inflated Episodic Memory with Region Self-Attention for Long-Tailed Visual RecognitionCVPROther-
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group SoftmaxCVPROtherPyTorch(Author)
M2m: Imbalanced Classification via Major-to-minor TranslationCVPRTLPyTorch(Author)
Deep Generative Model for Robust Imbalance ClassificationCVPROtherTensorFlow(Author)
Learning to Segment the TailCVPROther-
Decoupling Representation and Classifier for Long-Tailed RecognitionICLROtherPyTorch(Author)354

2019

TitleVenueTypeCodeStar
The Devil is in Classification: A Simple Framework for Long-tail Instance SegmentationECCVOther-
Class-Balanced Loss Based on Effective Number of SamplesCVPRCLRTensorFlow(Author) PyTorch(3rd)390/409
Striking the Right Balance with UncertaintyCVPRCLW SLW-
Feature Transfer Learning for Face Recognition with Under-Represented DataCVPRTLPyTorch(3rd)
Large-Scale Long-Tailed Recognition in an Open WorldCVPRTLPyTorch(Author)523
Unequal-training for Deep Face Recognition with Long-tailed Noisy DataCVPRTLMxNet(Author)
Learning for Tail Label Data: A Label-Specific Feature ApproachIJCAIOther-
Dynamic Curriculum Learning for Imbalanced Data ClassificationICCVS W-
Learning Imbalanced Datasets with Label-Distribution-Aware Margin LossNeurIPSCLWPyTorch(Author)233
Meta-Weight-Net_Learning an Explicit Mapping for Sample WeightingNeurIPSSLWPyTorch(Author) PyTorch(3rd)133/1

2018

TitleVenueTypeCodeStar
Large Scale Fine-Grained Categorization and Domain-Specific TransferCVPRTLTensorFlow(Author)146
Learning to Reweight Examples for Robust Deep LearningICMLCLWTensorFlow(Author) PyTorch(3rd)188/222
Clustering and Learning from Imbalanced DataNeurIPS-WOS-

2017

TitleVenueTypeCodeStar
Class Rectification Hard Mining for Imbalanced Deep LearningICCVCLW-
Focal Loss for Dense Object DetectionICCVSLWPyTorch(Author)
Range Loss for Deep Face Recognition with Long-Tailed Training DataICCVSLWPyTorch(3rd)
Learning to Model the TailNeurIPSTL-

2016

TitleVenueTypeCodeStar
Factors in Finetuning Deep Model for Object Detection with Long-tail DistributionCVPROther-
Learning Deep Representation for Imbalanced ClassificationCVPRCBS-
Learning to Learn: Model Regression Networks for Easy Small Sample LearningECCVTL-

Previous Venues

TitleVenueTypeCodeStar
Inverse Random under Sampling for Class Imbalance Problem and its Application to Multi-label ClassificationPRUS-
Classification of Imbalanced Data by Combining the Complementary Neural Network and SMOTE AlgorithmICONIPUSPyTorch(Author)
Borderline-SMOTE: A New Over-Sampling Method in Imblanced Data Sets LearningICICOS-
SMOTE: Synthetic Minority Over-sampling TechniqueJAIROS-

arXiv

TitleDateTypeCodeStar
Convolution and Convolution-root Properties of Long-tailed Distributions2015.01.29Other-
Deep Active Learning over the Long Tail2017.11.02``-
Adjusting Decision Boundary for Class Imbalanced Learning2019.12.04``Pytorch(Author)
Long-tail Visual Relationship Recognition with a Visiolinguistic Hubless Loss2020.03.25``-
Long-tail Learning with Class Descriptors2020.04.05``TensorFlow(Author)
Long-Tailed Recognition Using Class-Balanced Experts2020.04.07``-
Interaction Matching for Long-Tail Multi-Label Classification2020.05.18``-
EL: An Early-Exiting Framework for Long-tailed Classification2020.06.22``-
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization2020.06.29``-
Remix: Rebalanced Mixup2020.07.08Aug-
Balanced Meta-Softmax for Long-Tailed Visual Recognition2020.07.21``-
SeismoGlow: Data Augmentation for the Class Imbalance Problem2020.07.23Aug-
Meta Feature Modulator for Long-tailed Recognition2020.08.08Meta-
2020.08.10``-
2020.08.10``-
2020.08.10``-
2020.08.10``-
2020.08.10``-

Awesome Surveys

Awesome Blogs

Imbalanced Learning

TitleVenueTypeCode
Learning from Imbalanced DataTKDE``-