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SOTA
Long Tail Learning
Long Tail Learning On Inaturalist 2018
Long Tail Learning On Inaturalist 2018
評価指標
Top-1 Accuracy
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
Top-1 Accuracy
Paper Title
Repository
LADE
70.0%
Disentangling Label Distribution for Long-tailed Visual Recognition
CB-LWS
69.5%
Decoupling Representation and Classifier for Long-Tailed Recognition
DisAlign
70.6%
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
TSC(ResNet-50)
69.7%
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
GPaCo (2-R152)
79.8%
Generalized Parametric Contrastive Learning
BatchFormer(ResNet-50, RIDE)
74.1%
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning
RIDE-DiVE
73.44%
Distilling Virtual Examples for Long-tailed Recognition
LDAM + DRW + SAM
70.1
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
Online Feature Augmentation
65.9%
Feature Space Augmentation for Long-Tailed Data
-
cRT + SSP
68.1%
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
DeiT-LT
75.1%
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
LIFT (ViT-B/16)
80.4%
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
MiSLAS
71.6%
Improving Calibration for Long-Tailed Recognition
LDAM-DRS-RSG
70.3%
RSG: A Simple but Effective Module for Learning Imbalanced Datasets
VL-LTR (ViT-B-16)
81.0%
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
NCL(ResNet-50)
74.2%
Nested Collaborative Learning for Long-Tailed Visual Recognition
-
LTR-weight-balancing(ResNet-50)
70.2%
Long-Tailed Recognition via Weight Balancing
Hybrid-PSC
68.1%
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification
-
CE-DRW-IC
67.9%
Posterior Re-calibration for Imbalanced Datasets
-
PaCo(ResNet-152)
75.2%
Parametric Contrastive Learning
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