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| 3-D Reconstructions of | tailed | Bacteriophages from CYRO Electron Microscopy Images |
| ABC-Norm Regularization for Fine-Grained and Long- | tailed | Image Classification |
| ACE: Ally Complementary Experts for Solving Long- | tailed | Recognition in One-Shot |
| Adaptive Hierarchical Representation Learning for Long- | tailed | Object Detection |
| Advanced Augmentation and Ensemble Approaches for Classifying Long- | tailed | Multi-Label Chest X-Rays |
| Adversarial Robustness under Long- | tailed | Distribution |
| affine Invariant hyperspectral texture descriptor based upon heavy- | tailed | distributions and fourier analysis, An |
| AREA: Adaptive Reweighting via Effective Area for Long- | tailed | Classification |
| Asymptotic Expansions for Heavy- | tailed | Data |
| Attentive Feature Augmentation for Long- | tailed | Visual Recognition |
| Augmenting Features via Contrastive Learning-based Generative Model for Long- | tailed | Classification |
| Balanced Classification: A Unified Framework for Long- | tailed | Object Detection |
| Balanced Contrastive Learning for Long- | tailed | Visual Recognition |
| Balanced Product of Calibrated Experts for Long- | tailed | Recognition |
| Balancing Logit Variation for Long- | tailed | Semantic Segmentation |
| Bayesian denoising of ultrasound images using heavy- | tailed | Levy distribution |
| Bayesian Video Super-Resolution With Heavy- | tailed | Prior Models |
| Bayesian Wavelet-Based Image Deconvolution: A GEM Algorithm Exploiting a Class of Heavy- | tailed | Priors |
| BBN: Bilateral-Branch Network With Cumulative Learning for Long- | tailed | Visual Recognition |
| Blind Deconvolution Using Alternating Maximum a Posteriori Estimation with Heavy- | tailed | Priors |
| BLT: Balancing Long- | tailed | Datasets with Adversarially-perturbed Images |
| Boosting Dense Long- | tailed | Object Detection from Data-centric View |
| Boosting Long- | tailed | Object Detection via Step-wise Learning on Smooth-tail Data |
| Breadcrumbs: Adversarial Class-Balanced Sampling for Long- | tailed | Recognition |
| CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long- | tailed | Chest X-Ray Classification |
| Class-Conditional Sharpness-Aware Minimization for Deep Long- | tailed | Recognition |
| Class-Difficulty Based Methods for Long- | tailed | Visual Recognition |
| Constructing Balance from Imbalance for Long- | tailed | Image Recognition |
| Contrastive Learning based Hybrid Networks for Long- | tailed | Image Classification |
| Curvature-Balanced Feature Manifold Learning for Long- | tailed | Classification |
| DBN-Mix: Training dual branch network using bilateral mixup augmentation for long- | tailed | visual recognition |
| Deep Long- | tailed | Learning: A Survey |
| Deep Representation Learning on Long- | tailed | Data: A Learnable Embedding Augmentation Perspective |
| Difficulty-Net: Learning to Predict Difficulty for Long- | tailed | Recognition |
| Disentangling Label Distribution for Long- | tailed | Visual Recognition |
| Distilling Virtual Examples for Long- | tailed | Recognition |
| Distribution-balanced Loss for Multi-label Classification in Long- | tailed | Datasets |
| Domain Balancing: Face Recognition on Long- | tailed | Domains |
| Dynamic Loss Reweighting Method Based on Cumulative Classification Scores for Long- | tailed | Remote Sensing Image Classification |
| Dynamic Re-weighting for Long- | tailed | Semi-supervised Learning |
| Effect of Stage Training for Long- | tailed | Multi-Label Image Classification |
| Enhancing Multi-Label Long- | tailed | Classification on Chest X-Rays through ML-GCN Augmentation |
| Equalization Loss for Long- | tailed | Object Recognition |
| Equalization Loss v2: A New Gradient Balance Approach for Long- | tailed | Object Detection |
| Equalization Losses: Gradient-Driven Training for Long- | tailed | Object Recognition, The |
| Equalized Focal Loss for Dense Long- | tailed | Object Detection |
| Exploring Classification Equilibrium in Long- | tailed | Object Detection |
| FASA: Feature Augmentation and Sampling Adaptation for Long- | tailed | Instance Segmentation |
| FCC: Feature Clusters Compression for Long- | tailed | Visual Recognition |
| Feature Distribution Representation Learning Based on Knowledge Transfer for Long- | tailed | Classification |
| Feature fusion network for long- | tailed | visual recognition |
| Feature Space Augmentation for Long- | tailed | Data |
| FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long- | tailed | Medical Image Recognition |
| ForestDet: Large-Vocabulary Long- | tailed | Object Detection and Instance Segmentation |
| Frequency-Aware Self-Supervised Long- | tailed | Learning |
| General vs. Long- | tailed | Age Estimation: An Approach to Kill Two Birds With One Stone |
| GistNet: a Geometric Structure Transfer Network for Long- | tailed | Recognition |
| Global and Local Mixture Consistency Cumulative Learning for Long- | tailed | Visual Recognitions |
| Global Balanced Experts for Federated Long- | tailed | Learning |
| Heavy- | tailed | Model for Visual Tracking via Robust Subspace Learning |
| Heavy- | tailed | Self-Similarity Modeling for Single Image Super Resolution |
| Hierarchical long- | tailed | classification based on multi-granularity knowledge transfer driven by multi-scale feature fusion |
| Identifying Hard Noise in Long- | tailed | Sample Distribution |
| Improving Calibration for Long- | tailed | Recognition |
| Improving GANs for Long- | tailed | Data Through Group Spectral Regularization |
| Inflated Episodic Memory With Region Self-Attention for Long- | tailed | Visual Recognition |
| Instance-Specific Semantic Augmentation for Long- | tailed | Image Classification |
| Invariant Feature Learning for Generalized Long- | tailed | Classification |
| Inverse Image Frequency for Long- | tailed | Image Recognition |
| Iterative Cauchy Thresholding: Regularisation With A Heavy- | tailed | Prior |
| Joint classification and prediction of random curves using heavy- | tailed | process functional regression |
| Joint representation and classifier learning for long- | tailed | image classification |
| Key Point Sensitive Loss for Long- | tailed | Visual Recognition |
| Label-Noise Learning with Intrinsically Long- | tailed | Data |
| LAE: Long- | tailed | Age Estimation |
| Large-Scale Long- | tailed | Recognition in an Open World |
| LCReg: Long- | tailed | image classification with Latent Categories based Recognition |
| Learning From Multiple Experts: Self-paced Knowledge Distillation for Long- | tailed | Classification |
| Learning in Imperfect Environment: Multi-Label Classification with Long- | tailed | Distribution and Partial Labels |
| Learning Multi-Expert Distribution Calibration for Long- | tailed | Video Classification |
| Learning with Free Object Segments for Long- | tailed | Instance Segmentation |
| Local and Global Logit Adjustments for Long- | tailed | Learning |
| Local pseudo-attributes for long- | tailed | recognition |
| Long- | tailed | Class Incremental Learning |
| Long- | tailed | Federated Learning Via Aggregated Meta Mapping |
| Long- | tailed | Graph Representation Learning via Dual Cost-Sensitive Graph Convolutional Network |
| Long- | tailed | Instance Segmentation Using Gumbel Optimized Loss |
| Long- | tailed | Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-balanced Samplings |
| Long- | tailed | Object Detection for Multimodal Remote Sensing Images |
| Long- | tailed | Recognition of SAR Aerial View Objects by Cascading and Paralleling Experts |
| Long- | tailed | Recognition Using Class-Balanced Experts |
| Long- | tailed | Recognition via Weight Balancing |
| Long- | tailed | Traffic Sign Detection Using Attentive Fusion and Hierarchical Group Softmax |
| Long- | tailed | Visual Recognition via Gaussian Clouded Logit Adjustment |
| Long- | tailed | Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation |
| LT-SEI: Long- | tailed | Specific Emitter Identification Based on Decoupled Representation Learning in Low-Resource Scenarios |
| LTReID: Factorizable Feature Generation With Independent Components for Long- | tailed | Person Re-Identification |
| Majority Can Help the Minority: Context-rich Minority Oversampling for Long- | tailed | Classification, The |
| Margin-aware rectified augmentation for long- | tailed | recognition |
| MDCS: More Diverse Experts with Consistency Self-distillation for Long- | tailed | Recognition |
| Meta-prototype Decoupled Training for Long- | tailed | Learning |
| MetaSAug: Meta Semantic Augmentation for Long- | tailed | Visual Recognition |
| Model based variational Bayesian compressive sensing using heavy | tailed | sparse prior |
| MosaicOS: A Simple and Effective Use of Object-Centric Images for Long- | tailed | Object Detection |
| Multi-Hypothesis Marginal Multi-Target Bayes Filter for a Heavy- | tailed | Observation Noise |
| Multimodal MRI Template Creation in the Ring- | tailed | Lemur and Rhesus Macaque |
| Multiscale skewed heavy | tailed | model for texture analysis |
| Multivariate Laplace Filter: A heavy- | tailed | model for target tracking |
| Mutual Exclusive Modulator for Long- | tailed | Recognition |
| Mutual Learning for Long- | tailed | Recognition |
| NCL++: Nested Collaborative Learning for long- | tailed | visual recognition |
| Nested Collaborative Learning for Long- | tailed | Visual Recognition |
| No One Left Behind: Improving the Worst Categories in Long- | tailed | Learning |
| Nonparametric Blind Super-Resolution Using Adaptive Heavy- | tailed | Priors |
| On Multi-Domain Long- | tailed | Recognition, Imbalanced Domain Generalization and Beyond |
| Open Long- | tailed | Recognition in a Dynamic World |
| Optimized Ensemble Framework for Multi-Label Classification on Long- | tailed | Chest X-ray Data, An |
| PML: Progressive Margin Loss for Long- | tailed | Age Classification |
| Range Loss for Deep Face Recognition with Long- | tailed | Training Data |
| Relieving Long- | tailed | Instance Segmentation via Pairwise Class Balance |
| ResLT: Residual Learning for Long- | tailed | Recognition |
| Rethinking Class-Balanced Methods for Long- | tailed | Visual Recognition From a Domain Adaptation Perspective |
| Rethinking Image Super Resolution from Long- | tailed | Distribution Learning Perspective |
| Rethinking Long- | tailed | Visual Recognition with Dynamic Probability Smoothing and Frequency Weighted Focusing |
| Robust Asymmetric Loss for Multi-Label Long- | tailed | Learning |
| Robust Gaussian Approximate Fixed-Interval Smoother for Nonlinear Systems With Heavy- | tailed | Process and Measurement Noises, A |
| SAFA: Sample-Adaptive Feature Augmentation for Long- | tailed | Image Classification |
| SAR image denoising via Bayesian wavelet shrinkage based on heavy- | tailed | modeling |
| SAR image despeckling using heavy- | tailed | Burr distribution |
| SAR Image Filtering Based on the Heavy- | tailed | Rayleigh Model |
| Scalar quantisation of heavy- | tailed | signals |
| Seesaw Loss for Long- | tailed | Instance Segmentation |
| Self Supervision to Distillation for Long- | tailed | Visual Recognition |
| Semi-Supervised and Long- | tailed | Object Detection with CascadeMatch |
| Single-Stage Heavy- | tailed | Food Classification |
| Solving Long- | tailed | Recognition with Deep Realistic Taxonomic Classifier |
| Subclass-balancing Contrastive Learning for Long- | tailed | Recognition |
| Survey on Long- | tailed | Visual Recognition, A |
| Tackling Long- | tailed | Category Distribution Under Domain Shifts |
| Targeted Supervised Contrastive Learning for Long- | tailed | Recognition |
| Temporal Flow Mask Attention for Open-Set Long- | tailed | Recognition of Wild Animals in Camera-Trap Images |
| Text-guided Fourier Augmentation for long- | tailed | recognition |
| Three-Stage Framework with Reliable Sample Pool for Long- | tailed | Classification, A |
| Towards better long- | tailed | oracle character recognition with adversarial data augmentation |
| Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long- | tailed | Learning |
| Towards Effective Collaborative Learning in Long- | tailed | Recognition |
| Towards prior gap and representation gap for long- | tailed | recognition |
| Towards Realistic Long- | tailed | Semi-Supervised Learning: Consistency is All You Need |
| Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long- | tailed | Distribution |
| Trustworthy Long- | tailed | Classification |
| Two-Stage Shake-Shake Network for Long- | tailed | Recognition of SAR Aerial View Objects, A |
| Unbalanced Datasets, Imbalanced Sample Sizes, Imbalanced Data, Long- | tailed | Data |
| Unequal-Training for Deep Face Recognition With Long- | tailed | Noisy Data |
| VideoLT: Large-scale Long- | tailed | Video Recognition |
| VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long- | tailed | Visual Recognition |
| Weight-guided class complementing for long- | tailed | image recognition |
| Weight-Guided Loss for Long- | tailed | Object Detection and Instance Segmentation |
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