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Models/CE-DRW-IC

CE-DRW-IC

Reported on 10 benchmarks across 5 tasks · 1 paper

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

Methodology6 results

Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2020-10-22
41.4
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Posterior Re-calibration for Imbalanced Datasets arXiv:2010.11820
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2020-10-22
56.9
best: 10.9 (LPT)
Posterior Re-calibration for Imbalanced Datasets arXiv:2010.11820
Long-tail LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2020-10-22
41.4
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Posterior Re-calibration for Imbalanced Datasets arXiv:2010.11820
Long-tail LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2020-10-22
56.9
best: 10.9 (LPT)
Posterior Re-calibration for Imbalanced Datasets arXiv:2010.11820
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2020-10-22
41.4
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Posterior Re-calibration for Imbalanced Datasets arXiv:2010.11820
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2020-10-22
56.9
best: 10.9 (LPT)
Posterior Re-calibration for Imbalanced Datasets arXiv:2010.11820

Computer Vision4 results

Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2020-10-22
41.4
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Posterior Re-calibration for Imbalanced Datasets arXiv:2010.11820
Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2020-10-22
56.9
best: 10.9 (LPT)
Posterior Re-calibration for Imbalanced Datasets arXiv:2010.11820
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2020-10-22
41.4
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Posterior Re-calibration for Imbalanced Datasets arXiv:2010.11820
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2020-10-22
56.9
best: 10.9 (LPT)
Posterior Re-calibration for Imbalanced Datasets arXiv:2010.11820