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Models/MDCS

MDCS

Reported on 15 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.

Methodology9 results

Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2023-08-19
39.9
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition arXiv:2308.09922
Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=50)
Error Rate· 2023-08-19
11.7
best: 8.44 (GLMC + SAM)
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition arXiv:2308.09922
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2023-08-19
43.9
best: 10.9 (LPT)
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition arXiv:2308.09922
Long-tail LearningonCIFAR-100-LT (ρ=50)
Error Rate· 2023-08-19
39.9
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition arXiv:2308.09922
Long-tail LearningonCIFAR-10-LT (ρ=50)
Error Rate· 2023-08-19
11.7
best: 8.44 (GLMC + SAM)
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition arXiv:2308.09922
Long-tail LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2023-08-19
43.9
best: 10.9 (LPT)
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition arXiv:2308.09922
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=50)
Error Rate· 2023-08-19
39.9
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition arXiv:2308.09922
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=50)
Error Rate· 2023-08-19
11.7
best: 8.44 (GLMC + SAM)
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition arXiv:2308.09922
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2023-08-19
43.9
best: 10.9 (LPT)
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition arXiv:2308.09922

Computer Vision6 results

Image ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2023-08-19
39.9
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition arXiv:2308.09922
Image ClassificationonCIFAR-10-LT (ρ=50)
Error Rate· 2023-08-19
11.7
best: 8.44 (GLMC + SAM)
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition arXiv:2308.09922
Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2023-08-19
43.9
best: 10.9 (LPT)
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition arXiv:2308.09922
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2023-08-19
39.9
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition arXiv:2308.09922
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=50)
Error Rate· 2023-08-19
11.7
best: 8.44 (GLMC + SAM)
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition arXiv:2308.09922
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2023-08-19
43.9
best: 10.9 (LPT)
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition arXiv:2308.09922