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Long Tail Learning
Long Tail Learning On Cifar 10 Lt R 100
Long Tail Learning On Cifar 10 Lt R 100
Metrics
Error Rate
Results
Performance results of various models on this benchmark
Columns
Model Name
Error Rate
Paper Title
Repository
VS + SAM
17.6
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
smDRAGON
20.37
From Generalized zero-shot learning to long-tail with class descriptors
LDAM-DRW + SSP
22.17
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
GCL
17.32
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment
CE+DRS+GIT
21.24
Do Deep Networks Transfer Invariances Across Classes?
ConCutMix
13.93
Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation
ETF Classifier + DR (Resnet)
23.5
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
LPT
10.9
LPT: Long-tailed Prompt Tuning for Image Classification
GLMC + SAM
10.82
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
FBL (ResNet-32)
17.54
Feature-Balanced Loss for Long-Tailed Visual Recognition
ACE (4 experts)
18.6
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot
-
DeiT-LT
12.5
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
DirMixE
16.74
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition
GLMC+MaxNorm (ResNet-34, channel x4)
10.42
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions
TADE
16.2
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
-
NCL* + WGCC (ensemble)
15.4
Weight-guided class complementing for long-tailed image recognition
-
TSC(ResNet-32)
21.3
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
VS + ADRW + TLA
13.58
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. paper with code
SimSiam+rwSAM
14.4
Self-supervised Learning is More Robust to Dataset Imbalance
GLMC (ResNet-34, channel x4)
11.50
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions
0 of 28 row(s) selected.
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