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Models/RIDE

RIDE

Reported on 10 benchmarks across 5 tasks · 2 papers · 5 SOTA

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=100)
Error Rate· 2020-10-05
52
best: 10.9 (LPT)
SOTA
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts arXiv:2010.01809
Long-tail LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2020-10-05
52
best: 10.9 (LPT)
SOTA
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts arXiv:2010.01809
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2020-10-05
52
best: 10.9 (LPT)
SOTA
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts arXiv:2010.01809
Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2021-07-20
10.3
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition arXiv:2107.09249
Long-tail LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2021-07-20
10.3
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition arXiv:2107.09249
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2021-07-20
10.3
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition arXiv:2107.09249

Computer Vision4 results

Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2020-10-05
52
best: 10.9 (LPT)
SOTA
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts arXiv:2010.01809
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2020-10-05
52
best: 10.9 (LPT)
SOTA
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts arXiv:2010.01809
Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2021-07-20
10.3
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition arXiv:2107.09249
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2021-07-20
10.3
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition arXiv:2107.09249