ResCom

Reported on 5 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.

Methodology3 results

Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2022-03-22
8
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition arXiv:2203.11506
Long-tail LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2022-03-22
8
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition arXiv:2203.11506
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2022-03-22
8
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition arXiv:2203.11506

Computer Vision2 results

Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2022-03-22
8
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition arXiv:2203.11506
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2022-03-22
8
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition arXiv:2203.11506