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Models/GLMC + SAM

GLMC + SAM

Reported on 20 benchmarks across 5 tasks · 1 paper · 10 SOTA

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

Methodology12 results

Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=50)
Error Rate· 2022-12-28
8.44
SOTA
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2022-12-28
10.82
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Long-tail LearningonCIFAR-10-LT (ρ=50)
Error Rate· 2022-12-28
8.44
SOTA
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Long-tail LearningonCIFAR-10-LT (ρ=100)
Error Rate· 2022-12-28
10.82
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=50)
Error Rate· 2022-12-28
8.44
SOTA
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=100)
Error Rate· 2022-12-28
10.82
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2022-12-28
34.72
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2022-12-28
40.99
best: 10.9 (LPT)
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Long-tail LearningonCIFAR-100-LT (ρ=50)
Error Rate· 2022-12-28
34.72
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Long-tail LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2022-12-28
40.99
best: 10.9 (LPT)
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=50)
Error Rate· 2022-12-28
34.72
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2022-12-28
40.99
best: 10.9 (LPT)
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827

Computer Vision8 results

Image ClassificationonCIFAR-10-LT (ρ=50)
Error Rate· 2022-12-28
8.44
SOTA
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Image ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2022-12-28
10.82
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=50)
Error Rate· 2022-12-28
8.44
SOTA
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2022-12-28
10.82
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Image ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2022-12-28
34.72
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2022-12-28
40.99
best: 10.9 (LPT)
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2022-12-28
34.72
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2022-12-28
40.99
best: 10.9 (LPT)
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827