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SOTA
长尾学习
Long Tail Learning On Imagenet Lt
Long Tail Learning On Imagenet Lt
评估指标
Top-1 Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Top-1 Accuracy
Paper Title
Repository
LIFT (ViT-L/14)
82.9
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
µ2Net+ (ViT-L/16)
82.5
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems
MAM (ViT-B/16)
82.3
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data
-
LIFT (ViT-B/16)
78.3
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
VL-LTR (ViT-B-16)
77.2
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
BALLAD(ResNet-50×16)
76.5
A Simple Long-Tailed Recognition Baseline via Vision-Language Model
BALLAD(ViT-B-16)
75.7
A Simple Long-Tailed Recognition Baseline via Vision-Language Model
BALLAD(ResNet-101)
70.5
A Simple Long-Tailed Recognition Baseline via Vision-Language Model
VL-LTR (ResNet-50)
70.1
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
BALLAD(ResNet-50)
67.2
A Simple Long-Tailed Recognition Baseline via Vision-Language Model
GPaCo (2-ResNeXt101-32x4d)
63.2
Generalized Parametric Contrastive Learning
MDCS (ResNeXt-50)
61.8
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition
TADE(ResNeXt101-32x4d)
61.4
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
ProCo (ResNet50)
60.2
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
PaCo(ResNeXt101-32x4d)
60.0
Parametric Contrastive Learning
DeiT-LT
59.1
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
APA (SE-ResNext-50)
59.1
Adaptive Parametric Activation
TADE(ResNeXt-50)
58.8
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
GML (ResNeXt-50)
58.8
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels
DirMixE(ResNeXt-50)
58.61
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition
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