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Long Tail Learning On Cifar 100 Lt R 100

Metrics

Error Rate

Results

Performance results of various models on this benchmark

Paper Title
Cross-Entropy (CE)62.75Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics
Cross-Entropy (CE)61.68Class-Balanced Loss Based on Effective Number of Samples
IBLLoss61.52Influence-Balanced Loss for Imbalanced Visual Classification
Cross-Entropy + Curvature Regularization59.5Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds
CE-DRW58.9The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification
LDAM-DRW57.96Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
ELP57.6A Simple Episodic Linear Probe Improves Visual Recognition in the Wild
CDB-loss57.43Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance
CE-DRW-IC56.9Posterior Re-calibration for Imbalanced Datasets
LDAM-DRW + SSP56.57Rethinking the Value of Labels for Improving Class-Imbalanced Learning
smDRAGON56.50From Generalized zero-shot learning to long-tail with class descriptors
LDAM-DRW + WGCC56.4Weight-guided class complementing for long-tailed image recognition
TSC(ResNet-32)56.2Targeted Supervised Contrastive Learning for Long-Tailed Recognition
CE+DRS+GIT55.65Do Deep Networks Transfer Invariances Across Classes?
LDAM-DRW-RSG55.5RSG: A Simple but Effective Module for Learning Imbalanced Datasets
Hybrid-PSC55.03Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification
FBL (Resnet-32)54.78Feature-Balanced Loss for Long-Tailed Visual Recognition
ETF Classifier + DR (Resnet)54.7Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
LADE54.6Disentangling Label Distribution for Long-tailed Visual Recognition
UniMix+Bayias (ResNet-32)54.55Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
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Long Tail Learning On Cifar 100 Lt R 100 | SOTA | HyperAI