SOTAVerified

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

Showing 51100 of 131 papers

TitleStatusHype
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed RecognitionCode1
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark StudyCode1
Invariant Feature Learning for Generalized Long-Tailed ClassificationCode1
Balanced Contrastive Learning for Long-Tailed Visual RecognitionCode1
Bag of Tricks for Long-Tail Visual Recognition of Animal Species in Camera-Trap ImagesCode0
Maximum Class Separation as Inductive Bias in One MatrixCode1
Balanced Product of Calibrated Experts for Long-Tailed RecognitionCode1
Long-tailed Recognition by Learning from Latent Categories0
FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated DistillationCode1
ELM: Embedding and Logit Margins for Long-Tail Learning0
Nested Collaborative Learning for Long-Tailed Visual RecognitionCode1
Long-Tailed Recognition via Weight BalancingCode1
Visual Prompt TuningCode3
Rebalanced Siamese Contrastive Mining for Long-Tailed RecognitionCode0
Do Deep Networks Transfer Invariances Across Classes?Code1
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?Code1
BatchFormer: Learning to Explore Sample Relationships for Robust Representation LearningCode2
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation0
Retrieval Augmented Classification for Long-Tail Visual Recognition0
Balancing Domain Experts for Long-Tailed Camera-Trap Recognition0
A Simple Episodic Linear Probe Improves Visual Recognition in the WildCode2
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise ImagesCode1
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed ClassificationCode1
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed ClassificationCode1
A Simple Long-Tailed Recognition Baseline via Vision-Language ModelCode1
Targeted Supervised Contrastive Learning for Long-Tailed RecognitionCode1
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual RecognitionCode1
Trustworthy Long-Tailed ClassificationCode1
Feature Generation for Long-tail ClassificationCode1
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior PerspectiveCode1
Improving Tail-Class Representation with Centroid Contrastive Learning0
Self-supervised Learning is More Robust to Dataset ImbalanceCode1
Influence-Balanced Loss for Imbalanced Visual ClassificationCode1
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix0
Fairness-aware Class Imbalanced Learning0
Self Supervision to Distillation for Long-Tailed Visual RecognitionCode1
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-ShotCode0
Parametric Contrastive LearningCode1
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed RecognitionCode1
Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-Balanced Samplings0
RSG: A Simple but Effective Module for Learning Imbalanced DatasetsCode1
Class-Balanced Distillation for Long-Tailed Visual RecognitionCode1
Distributional Robustness Loss for Long-tail Learning0
Improving Calibration for Long-Tailed RecognitionCode1
Distribution Alignment: A Unified Framework for Long-tail Visual RecognitionCode1
Distilling Virtual Examples for Long-tailed RecognitionCode0
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification0
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual RecognitionCode1
Learning Transferable Visual Models From Natural Language SupervisionCode2
ResLT: Residual Learning for Long-tailed RecognitionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LIFT (ViT-L/14)Top-1 Accuracy82.9Unverified
2µ2Net+ (ViT-L/16)Top-1 Accuracy82.5Unverified
3MAM (ViT-B/16)Top-1 Accuracy82.3Unverified
4LIFT (ViT-B/16)Top-1 Accuracy78.3Unverified
5VL-LTR (ViT-B-16)Top-1 Accuracy77.2Unverified
6BALLAD(ResNet-50×16)Top-1 Accuracy76.5Unverified
7BALLAD(ViT-B-16)Top-1 Accuracy75.7Unverified
8BALLAD(ResNet-101)Top-1 Accuracy70.5Unverified
9VL-LTR (ResNet-50)Top-1 Accuracy70.1Unverified
10BALLAD(ResNet-50)Top-1 Accuracy67.2Unverified
#ModelMetricClaimedVerifiedStatus
1Cross-Entropy (CE)Error Rate62.75Unverified
2Cross-Entropy (CE)Error Rate61.68Unverified
3IBLLossError Rate61.52Unverified
4Cross-Entropy + Curvature RegularizationError Rate59.5Unverified
5CE-DRWError Rate58.9Unverified
6LDAM-DRWError Rate57.96Unverified
7ELPError Rate57.6Unverified
8CDB-lossError Rate57.43Unverified
9CE-DRW-ICError Rate56.9Unverified
10LDAM-DRW + SSPError Rate56.57Unverified
#ModelMetricClaimedVerifiedStatus
1RISDAError Rate20.11Unverified
2Empirical Risk Minimization (ERM, CE)Error Rate13.61Unverified
3Class-balanced ReweightingError Rate13.46Unverified
4Class-balanced ResamplingError Rate13.21Unverified
5IBLLossError Rate12.93Unverified
6Class-balanced Focal LossError Rate12.9Unverified
7DecTDEError Rate12.63Unverified
8M2mError Rate12.5Unverified
9Prior-LTError Rate12.2Unverified
10ELF&LDAM+DRWError Rate12Unverified
#ModelMetricClaimedVerifiedStatus
1LIFT (ViT-L/14@336px)Top-1 Accuracy87.4Unverified
2LIFT (ViT-L/14)Top-1 Accuracy85.2Unverified
3GML (ViT-B-16)Top-1 Accuracy82.1Unverified
4LIFT (ViT-B/16)Top-1 Accuracy80.4Unverified
5RAC (ViT-B-16)Top-1 Accuracy80.24Unverified
6GPaCo (2-R152)Top-1 Accuracy79.8Unverified
7TADE(ResNet-152)Top-1 Accuracy77Unverified
8ProCo (ResNet50)Top-1 Accuracy75.8Unverified
9MDCS(Resnet50)Top-1 Accuracy75.6Unverified
10DeiT-LTTop-1 Accuracy75.1Unverified