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Models/DRO-LT

DRO-LT

Reported on 15 benchmarks across 5 tasks · 1 paper · 5 SOTA

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

Methodology9 results

Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2021-04-07
36.59
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Distributional Robustness Loss for Long-tail Learning arXiv:2104.03066
Long-tail LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2021-04-07
36.59
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Distributional Robustness Loss for Long-tail Learning arXiv:2104.03066
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2021-04-07
36.59
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Distributional Robustness Loss for Long-tail Learning arXiv:2104.03066
Generalized Few-Shot ClassificationonImageNet-LT
Top-1 Accuracy· 2021-04-07
53.5
best: 82.9 (LIFT (ViT-L/14))
Distributional Robustness Loss for Long-tail Learning arXiv:2104.03066
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2021-04-07
52.67
best: 10.9 (LPT)
Distributional Robustness Loss for Long-tail Learning arXiv:2104.03066
Long-tail LearningonImageNet-LT
Top-1 Accuracy· 2021-04-07
53.5
best: 82.9 (LIFT (ViT-L/14))
Distributional Robustness Loss for Long-tail Learning arXiv:2104.03066
Long-tail LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2021-04-07
52.67
best: 10.9 (LPT)
Distributional Robustness Loss for Long-tail Learning arXiv:2104.03066
Generalized Few-Shot LearningonImageNet-LT
Top-1 Accuracy· 2021-04-07
53.5
best: 82.9 (LIFT (ViT-L/14))
Distributional Robustness Loss for Long-tail Learning arXiv:2104.03066
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2021-04-07
52.67
best: 10.9 (LPT)
Distributional Robustness Loss for Long-tail Learning arXiv:2104.03066

Computer Vision6 results

Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2021-04-07
36.59
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Distributional Robustness Loss for Long-tail Learning arXiv:2104.03066
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2021-04-07
36.59
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Distributional Robustness Loss for Long-tail Learning arXiv:2104.03066
Image ClassificationonImageNet-LT
Top-1 Accuracy· 2021-04-07
53.5
best: 82.9 (LIFT (ViT-L/14))
Distributional Robustness Loss for Long-tail Learning arXiv:2104.03066
Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2021-04-07
52.67
best: 10.9 (LPT)
Distributional Robustness Loss for Long-tail Learning arXiv:2104.03066
Few-Shot Image ClassificationonImageNet-LT
Top-1 Accuracy· 2021-04-07
53.5
best: 82.9 (LIFT (ViT-L/14))
Distributional Robustness Loss for Long-tail Learning arXiv:2104.03066
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2021-04-07
52.67
best: 10.9 (LPT)
Distributional Robustness Loss for Long-tail Learning arXiv:2104.03066