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Models/LDAM-DRW

LDAM-DRW

Reported on 20 benchmarks across 5 tasks · 1 paper · 20 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology12 results

Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2019-06-18
11.84
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2019-06-18
41.29
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2019-06-18
57.96
best: 10.9 (LPT)
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2019-06-18
22.97
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Long-tail LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2019-06-18
11.84
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Long-tail LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2019-06-18
41.29
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Long-tail LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2019-06-18
57.96
best: 10.9 (LPT)
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Long-tail LearningonCIFAR-10-LT (ρ=100)
Error Rate· 2019-06-18
22.97
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2019-06-18
11.84
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2019-06-18
41.29
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2019-06-18
57.96
best: 10.9 (LPT)
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=100)
Error Rate· 2019-06-18
22.97
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413

Computer Vision8 results

Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2019-06-18
11.84
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2019-06-18
41.29
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2019-06-18
57.96
best: 10.9 (LPT)
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Image ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2019-06-18
22.97
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2019-06-18
11.84
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2019-06-18
41.29
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2019-06-18
57.96
best: 10.9 (LPT)
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2019-06-18
22.97
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss arXiv:1906.07413